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    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/125165025/population-genetics-in-an-era-of</loc>
        <video:video>
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            <video:title>Population Genetics in an Era of Genomic Health</video:title>
            <video:description>&lt;p&gt;Advances in genomic medicine hold enormous promise, but that promise cannot be fully realized without greater diversity in research and clinical application.&lt;/p&gt;&lt;p&gt;In this webinar, Eimear Kenny will discuss how population genetics can drive more accurate, equitable genomic health by expanding representation in genomic studies and databases. Drawing on work from her group at the Icahn School of Medicine at Mount Sinai, she will highlight efforts in expanding the understanding of human genomic diversity by prioritizing populations underrepresented in genomics, developing and sharing computational tools that improve precision across diverse populations, and uncovering disease-related genetic architectures shaped by demographic history.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;In this webinar, attendees will:&lt;/strong&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Learn how her research group is expanding diversity in large-scale genomic databases and integrating new models of genomic medicine into routine clinical care to ensure insights translate into real-world practice&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Explore why inclusivity, methodological innovation and diverse populations are essential to advancing genomic health, improving patient care and promoting health equity&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-03-26T15:48:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3604</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/125153387/single-cell-rna-seq-cell-hashing-5</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=125153387</video:player_loc>
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            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/125153387/5ad470b07bfe1d7ace277a560e858640/small/single-cell-rna-seq-cell-hashing-5-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single-cell RNA-seq, cell hashing and spatial transcriptomics</video:title>
            <video:description>&lt;p&gt;In this training, you will learn how to analyze and interpret your own single cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files.&lt;/p&gt;&lt;p&gt;Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single cell RNA-seq data. Specifically, you will learn how to:&lt;/p&gt;&lt;p&gt;• Import your raw FASTQ or processed cell-matrix files.&lt;/p&gt;&lt;p&gt;• Use pre-configured but customizable pipelines/workflows for single cell RNA-seq data.&lt;/p&gt;&lt;p&gt;• Generate high resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries.&lt;/p&gt;&lt;p&gt;o Dimension reduction (UMAP, t-SNE) plots&lt;/p&gt;&lt;p&gt;o Differential expression table for clusters, cell types, or combination of both&lt;/p&gt;&lt;p&gt;o Heat map&lt;/p&gt;&lt;p&gt;o Dot plots&lt;/p&gt;&lt;p&gt;o Violin plots&lt;/p&gt;&lt;p&gt;• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).&lt;/p&gt;&lt;p&gt;• Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-03-26T12:39:50+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5549</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/124968344/ngs-for-gmp-compliance-new-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=124968344</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/124968344/c78662361ff154f76cb8dedeac80598a/video_medium/ngs-for-gmp-compliance-new-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/124968344/c78662361ff154f76cb8dedeac80598a/small/ngs-for-gmp-compliance-new-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>NGS for GMP compliance: New guidelines, new tools</video:title>
            <video:description>&lt;p&gt;The updated ICH Q5A(R2) guidelines recommend next-generation sequencing (NGS) as the preferred approach for detecting adventitious agents. From cell line development and viral clearance studies to contamination tracing and product characterization, NGS-based tests outperform older assays in efficacy, sensitivity and reproducibility. This forms the basis for implementation by leading regulatory authorities, including the FDA, EMA, PMDA, and MFDS, signaling a global shift in biosafety testing.&lt;/p&gt;&lt;p&gt;Ensure easy compliance with these new directives by using a robust, computer systems validation (CSV)-friendly software platform that supports transparency and traceability throughout your biologics production pipeline.&lt;/p&gt;&lt;p&gt;You will learn&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;- The impact of current guidelines, including ICH Q5A(R2), FDA 21 CFR Part 11 and European Pharmacopeia Chapter 2.6.41 on biologics production&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Key requirements on data integrity, audit trails, user authentication and more, for setting up GMP environments&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- How QIAGEN CLC Genomics Workbench and Server support achieving GMP compliance&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-03-20T11:53:04+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1776</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/124778043/ipa-interpret-a-hands-on-workshop-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=124778043</video:player_loc>
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            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/124778043/1d40b53a9cf1f2f3243e91bff7b63cc2/small/ipa-interpret-a-hands-on-workshop-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Interpret: A hands-on workshop</video:title>
            <video:description>&lt;p&gt;Now, you can access and share the interpretative power of QIAGEN Ingenuity Pathway Analysis (IPA) in an easy-to-consume format – without installing any extra software. IPA Interpret identifies and summarizes the biological themes in your results with the help of AI, creating a shareable, interactive report.&lt;/p&gt;&lt;p&gt;You will learn how to:&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;- Create an IPA Interpret report that can be easily shared with others&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Gain valuable insight into critical biological pathways, key regulators and more with just a few clicks&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Easily customize charts, such as the highly popular volcano bubble chart, taking advantage of new features introduced with recent updates&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Export both graphical and tabular results&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-03-16T11:44:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4984</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/124773559/ipa-deeper-dive-mirna-investigation-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=124773559</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/124773559/8c2ec439922bddaaeb48def99540f780/video_medium/ipa-deeper-dive-mirna-investigation-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/124773559/8c2ec439922bddaaeb48def99540f780/small/ipa-deeper-dive-mirna-investigation-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA deeper dive miRNA investigation using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;In this 90-minute training session, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Topics that will be covered include:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;How to analyze miRNA-seq datasets alone or both miRNA and corresponding mRNA datasets together&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How to use QIAGEN IPA without a dataset, using miRNA IDs&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Introduction to databases and curated content specific to miRNA&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-03-16T11:03:24+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5004</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/124096396/is-it-oncogenic-comparing</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=124096396</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/124096396/6c4bfb562c16bfa581eded4fde725bef/video_medium/is-it-oncogenic-comparing-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/124096396/6c4bfb562c16bfa581eded4fde725bef/small/is-it-oncogenic-comparing-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Is it oncogenic? Comparing guidelines and QCI Interpret CDS for cancer variant interpretation</video:title>
            <video:description>&lt;p&gt;Accurate clinical interpretation of somatic cancer variants is critical for diagnosis and guidance of precision oncology treatment. Without shared standards, laboratories and clinical decision-support (CDS) systems have implemented independent approaches, leading to significant variability and highlighting a need for standardization.&amp;nbsp;&lt;br&gt;&lt;br&gt;Through a collaborative effort, ClinGen, the Cancer Genomics Consortium (CGC) and the Variant Interpretation for Cancer Consortium (VICC) have developed a framework for standardized classification. In this webinar, we will evaluate these standards and compare their classifications with results from the QIAGEN Clinical Insight (QCI) Interpret CDS system.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;You will learn:&amp;nbsp;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Understand ClinGen/CGC/VICC standards for variant classification&lt;br&gt;Learn how these expert-developed guidelines define and standardize somatic cancer variant classification.&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Compare software classifications with guideline-based human assessments&lt;br&gt;See how classifications from the ClinGen/CGC/VICC standards compare with those generated by QCI Interpret.&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Best practices to use guidelines and tools together&lt;br&gt;Discover how to combine expert guidelines with clinical decision support tools for more reliable variant interpretation.&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-26T18:20:14+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3350</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/124090794/from-omics-to-insights-part-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=124090794</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/124090794/2b3c2062e3ca28e539eb48dc9f1054a1/video_medium/from-omics-to-insights-part-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/124090794/2b3c2062e3ca28e539eb48dc9f1054a1/small/from-omics-to-insights-part-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>From ‘Omics to Insights Part 2: Interpret Your IPA Core Analysis Results</video:title>
            <video:description>&lt;p&gt;This is the second part of a series on how you can easily turn your ‘omics data into actionable insights using QIAGEN Ingenuity Pathway Analysis (IPA). Here, we’ll introduce you to the QIAGEN Knowledge Base and the different sets of results you can get from an IPA Core Analysis.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;You will learn:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;How to predict the activity of enriched pathways, regulators, diseases and more&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How to validate your results by comparing with published datasets&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How to identify key biological themes in your data with the help of AI summaries&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;u&gt;About this series&lt;/u&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;From ‘Omics to Insights: Data Analysis Fundamentals with IPA&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Do you find ‘omics data analysis overwhelming? Good news: it doesn’t have to be.&lt;/p&gt;&lt;p&gt;Discover how you can easily turn your ‘omics data into actionable insights with QIAGEN Ingenuity Pathway Analysis (IPA), an advanced tertiary analysis program for your RNA-seq, proteomics or metabolomics dataset. Learn how to search the QIAGEN Knowledge Base, the rich, expert-curated content that powers IPA. Explore the biological landscape around a gene of interest, formulate promising hypotheses and uncover potentially novel connections – without worrying about programming or paywalls.&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-26T15:52:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4439</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/124067336/omicsoft-explorer-hands-on-workshop-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=124067336</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/124067336/8a2c1b3b3b2a3716693a641339f882a4/video_medium/omicsoft-explorer-hands-on-workshop-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/124067336/8a2c1b3b3b2a3716693a641339f882a4/small/omicsoft-explorer-hands-on-workshop-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>OmicSoft Explorer Hands-on Workshop: Easily search and interpret deeply curated 'omics datasets</video:title>
            <video:description>&lt;p&gt;This hands-on workshop will cover a highly requested use case using OmicSoft Explorer and IPA Interpret, two new features that QIAGEN IPA* and OmicSoft customers can now access.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Specifically, the trainer will go over how to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Easily search for deeply curated high-quality 'omics datasets (RNA-seq, scRNA-seq, etc.) based on user-defined criteria (disease name, drug treatment, etc.) curated from sources such as GEO, SRA, TCGA and more&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Explore project details to gain a better understanding of the experimental setup and sample metadata&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Study volcano plots to identify biomarkers associated with conditions of interest&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Generate sharable pathway analysis reports that provide insights into disease pathology, drug mechanism of action, cellular processes and more&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;*with a premium license.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;IPA Interpret and OmicSoft Explorer are now available through both IPA and OmicSoft. &lt;a target="_blank" rel="noreferrer noopener" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA4Sc00000023mbKAA&amp;amp;c%E2%80%A6"&gt;Learn more.&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-26T12:29:24+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4830</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/123906325/multi-omics-metabolomics-proteomics-4</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=123906325</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/123906325/9dcbee8bd1543890aaec47b8f9588840/video_medium/multi-omics-metabolomics-proteomics-4-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/123906325/9dcbee8bd1543890aaec47b8f9588840/small/multi-omics-metabolomics-proteomics-4-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;This 90-minute training session will show you how QIAGEN Ingenuity Pathway Analysis (IPA) helps visualize molecular intricacies and variations at multiple levels, such as transcriptome, proteome and metabolome. Through a series of brief technical vignettes, we will demonstrate how to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;- Generate associations among molecular signatures obtained via integrating multi-omics data&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Extract mechanisms from multi-omics data for precision medicine&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Disease stratification based on multi-omics profiles&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Map disease networks among targets and indications&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-23T11:40:51+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5483</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/123905465/long-reads-analysis-using-qiagen-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=123905465</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/123905465/0c78a2d5420f4d328276d9d9aaf3bded/video_medium/long-reads-analysis-using-qiagen-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/123905465/0c78a2d5420f4d328276d9d9aaf3bded/small/long-reads-analysis-using-qiagen-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Long reads analysis using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;This webinar will introduce you to the Long Read Support plugin for Oxford Nanopore and PacBio sequencing reads in QIAGEN CLC Genomics Workbench.&lt;/p&gt;&lt;p&gt;Learn how to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;- Download and install needed plugins&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Import data required for the analysis&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Perform long read de novo assembly&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Map reads to a reference and visualize an assembly&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Use BLAST to investigate the contigs&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Use additional long read tools: polish with short reads, structural variant calling&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Use genome finishing tools: analyze and assemble contigs&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Use analytical tools: RNA-seq analysis for long reads, classify long read amplicons for metagenomics&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-23T11:31:06+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5464</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/123800918/from-targets-to-treatments</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=123800918</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/123800918/afba09610d30f970942b3829d508cc1e/video_medium/from-targets-to-treatments-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/123800918/afba09610d30f970942b3829d508cc1e/small/from-targets-to-treatments-thumbnail.jpg</video:thumbnail_loc>
            <video:title>From targets to treatments: Data-driven drug discovery across therapeutic areas</video:title>
            <video:description>&lt;p&gt;The early stages of drug development are inherently high-risk; molecule screening, target evaluation and lead refinement can take years and cost millions of dollars – often have little to show for the effort. Indication expansion and drug repurposing can open new avenues of possibility, after careful evaluation of the relationships between the drug, its targets and the new disease context. These connections can be uncovered by mining curated, causal knowledge graphs, which inform smarter target identification.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Learn how to evaluate targets and drugs in this oncology-focused webinar, which examines BRAF as a target in multiple myeloma. Also, we’ll evaluate different drugs in clinical trials with an analysis that covers the GOT-IT assessment blocks for drug evaluation. These blocks, developed by the GOT-IT (Guidelines On Target Assessment for Innovative Therapeutics) working group, are part of a target assessment framework that supports robust, reproducible data.&lt;/p&gt;&lt;p&gt;We’ll cover how to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;- Apply the GOT-IT framework to target evaluation and indication expansion&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Uncover causal relationships between existing drugs and new diseases with our curated knowledge graphs&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- Make informed decisions based on concrete data, including toxicity, adverse events and competing drugs in clinical trials&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-19T17:32:35+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3565</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>bkb</video:tag>
            <video:tag>discovery</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/123262732/associating-metadata-with-samples</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=123262732</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/123262732/57c1c5042c384132eb89c7c94d2515fb/video_medium/associating-metadata-with-samples-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/123262732/57c1c5042c384132eb89c7c94d2515fb/small/associating-metadata-with-samples-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Associating metadata with samples in CLC</video:title>
            <video:description>&lt;p&gt;In this video, we demonstrate the import and association of metadata with sample files.&lt;/p&gt;&lt;p&gt;&amp;nbsp; &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Metadata.html"&gt;https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Metadata.html&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-09T12:49:01+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>259</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/123262529/how-to-view-overlapping-genes-in-a</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=123262529</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/123262529/01352cd5a4a974b0e63a675ab323d88f/video_medium/how-to-view-overlapping-genes-in-a-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/123262529/01352cd5a4a974b0e63a675ab323d88f/small/how-to-view-overlapping-genes-in-a-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to view overlapping genes in a Venn Diagram using the synchronized table view in CLC</video:title>
            <video:description>&lt;p&gt;In this video, we demonstrate how to view details of specific data points in plot views using the synchronized table view. See how you can easily access the list of genes that overlap in a Venn diagram for RNA-seq. This functionality is also available for other types of plots like track lists, expression browsers and volcano plots, to name a few.&lt;br&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-09T12:48:41+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>128</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/123262485/introduction-to-fork-collections</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=123262485</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/123262485/fa4d5d09bdf48cd8b4a7faae2e89f8f2/video_medium/introduction-to-fork-collections-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/123262485/fa4d5d09bdf48cd8b4a7faae2e89f8f2/small/introduction-to-fork-collections-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Introduction to Fork Collections</video:title>
            <video:description>&lt;p&gt;Starting with CLC version 26, workflow control can be simplified using fork collections.&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Fork.html#SECTION001425230000000000000"&gt;https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Fork.html#SECTION001425230000000000000&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-09T12:48:34+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>175</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/123115229/from-omics-to-insights-part-1-ipa</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=123115229</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/123115229/744b6a0ca806ed682c2dc2e5a17b9c74/video_medium/from-omics-to-insights-part-1-ipa-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/123115229/744b6a0ca806ed682c2dc2e5a17b9c74/small/from-omics-to-insights-part-1-ipa-thumbnail.jpg</video:thumbnail_loc>
            <video:title>From ‘Omics to Insights Part 1: IPA Dataset Prep and Core Analysis Setup</video:title>
            <video:description>&lt;p&gt;This is the first part of a series on how you can easily turn your ‘omics data into actionable insights using QIAGEN Ingenuity Pathway Analysis (IPA). Here, we'll focus on setting up your dataset for IPA upload and analysis.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;You will learn:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;The IDs, measurement types and formats that IPA supports&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How IPA uses your data for statistical tests and prediction scoring&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;The different types and parameters of a Core Analysis&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Best practice tips from our expert&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;u&gt;About this series&lt;/u&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;From ‘Omics to Insights: Data Analysis Fundamentals with IPA&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Do you find ‘omics data analysis overwhelming? Good news: it doesn’t have to be.&lt;/p&gt;&lt;p&gt;Discover how you can easily turn your ‘omics data into actionable insights with QIAGEN Ingenuity Pathway Analysis (IPA), an advanced tertiary analysis program for your RNA-seq, proteomics or metabolomics dataset. Learn how to search the QIAGEN Knowledge Base, the rich, expert-curated content that powers IPA. Explore the biological landscape around a gene of interest, formulate promising hypotheses and uncover potentially novel connections – without worrying about programming or paywalls.&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-06T08:50:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3411</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ingenuity pathway analysis</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/122998958/hybrid-variant-interpretation</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=122998958</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/122998958/d9928314b5f376900e0b034dad2da852/video_medium/hybrid-variant-interpretation-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/122998958/d9928314b5f376900e0b034dad2da852/small/hybrid-variant-interpretation-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Hybrid Variant Interpretation: Combining AI + Expert Curation to Streamline Hereditary Clinical Testing</video:title>
            <video:description>&lt;p&gt;As hereditary NGS testing grows more complex, clinical labs must interpret variants with greater speed and accuracy. This webinar introduces Franklin by QIAGEN, now integrated with HGMD Professional, combining AI-powered workflows and automated ACMG annotation with the leading expert-curated germline database. Together, they enable faster, evidence-backed interpretation, reduce manual review, and boost reporting confidence by minimizing missed clinically relevant findings.&lt;/p&gt;&lt;p&gt;In this webinar, you’ll see how Franklin + HGMD accelerates variant matching, streamlines VUS assessment, supports long-read sequencing, and delivers instant access to curated clinical and functional evidence—all through a unified interpretation workflow.&lt;/p&gt;&lt;p&gt;Key highlights include:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Integrated ACMG-based annotation + automatic literature curation for evidence-backed interpretation&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Instant variant matching to quickly identify known, reported, or novel variant&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Faster VUS resolution with direct access to relevant publications and functional data&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Minimal manual literature search with direct links to HGMD Professional in-platform&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Long-read sequencing support for interpreting complex alleles and structural variants&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-02-03T12:59:20+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3103</video:duration>
            <video:category>HGMD</video:category>
            <video:tag>Franklin</video:tag>
            <video:tag>hgmd</video:tag>
            <video:tag>highlighted</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/122734051/rna-seq-data-analysis-using-qiagen-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=122734051</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/122734051/267ff213640a8dd8138a25507905f03f/video_medium/rna-seq-data-analysis-using-qiagen-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/122734051/267ff213640a8dd8138a25507905f03f/small/rna-seq-data-analysis-using-qiagen-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>RNA-seq data analysis using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;For your RNA-seq data, you will learn how to:&lt;/p&gt;&lt;p&gt;• Import FASTQ files, cell matrix files and metadata&lt;/p&gt;&lt;p&gt;• Download and/or import reference and annotations files&lt;/p&gt;&lt;p&gt;• Map reads to a reference genome&lt;/p&gt;&lt;p&gt;• Generate gene and transcript counts&lt;/p&gt;&lt;p&gt;• QC reports displaying % mapped reads etc.&lt;/p&gt;&lt;p&gt;• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, Sankey plot and more&lt;/p&gt;&lt;p&gt;• Easily customize RNA-seq workflows&lt;/p&gt;&lt;p&gt;• Export publication-quality graphics, tables and reports&lt;/p&gt;&lt;p&gt;Per audience request&lt;/p&gt;&lt;p&gt;• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways&lt;/p&gt;</video:description>
            <video:publication_date>2026-01-26T12:48:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5000</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>workbench</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/122655675/tissue-specific-target-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=122655675</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/122655675/6c5542541c2320504636256b01204b1e/video_medium/tissue-specific-target-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/122655675/6c5542541c2320504636256b01204b1e/small/tissue-specific-target-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Tissue-specific target identification using QIAGEN OmicSoft high-quality ‘omics data</video:title>
            <video:description>&lt;p&gt;Disease pathogenesis is often context-dependent, specifically on tissue expression profiles within a given disease context. However, tissue expression profile of drug targets or potential targets is often difficult to ascertain.&lt;/p&gt;&lt;p&gt;In this webinar, we will dive deep into the wealth of available deeply curated high quality ‘omics data (RNA-seq, scRNA-seq and more) in the OmicSoft Lands database using APIs to achieve the following:&lt;/p&gt;&lt;p&gt;• Demonstrate how to obtain a disease gene signature of interest.&lt;/p&gt;&lt;p&gt;• Compare the constitutive expression profile of that gene set across different tissues.&lt;/p&gt;&lt;p&gt;• Find tissues with similar expression profiles.&lt;/p&gt;&lt;p&gt;• Generate a hypothesis relating two tissue specific diseases to each other for the purpose of indication expansion.&lt;/p&gt;</video:description>
            <video:publication_date>2026-01-23T09:25:15+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3914</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/122603550/advance-workflow-constructions</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=122603550</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/122603550/ce5c5296e9858030caa8bfbc562dbfcb/video_medium/advance-workflow-constructions-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/122603550/ce5c5296e9858030caa8bfbc562dbfcb/small/advance-workflow-constructions-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Advance workflow constructions using the CLC Genomics workbench</video:title>
            <video:description>&lt;p&gt;In today’s session, we’ll explore the major enhancements to the workflow system that greatly improve usability, flexibility, and authoring efficiency. We’ll look at new grouping and branching features that simplify complex workflow design, updated editor tools that make navigation and validation easier, and improvements that streamline adding, managing, and reusing workflow components. We’ll also cover the newly workflow-enabled tools and how workflows can now be installed even when some tools are unavailable – making collaboration and sharing smoother than ever.&lt;/p&gt;&lt;p&gt;• Overview of major workflow system enhancements&lt;/p&gt;&lt;p&gt;• New grouping and branching features for easier design&lt;/p&gt;&lt;p&gt;• Streamlined workflow editor with improved navigation and validation&lt;/p&gt;&lt;p&gt;• Faster, more consistent workflow creation and reuse&lt;/p&gt;&lt;p&gt;• Newly workflow-enabled tools and improved installation flexibility&lt;/p&gt;</video:description>
            <video:publication_date>2026-01-21T16:28:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4276</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>workbench</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/122486953/qiagen-ipa-new-user-training-13</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=122486953</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/122486953/da0633f8ea437ff767746b3e9bc91e79/video_medium/qiagen-ipa-new-user-training-13-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/122486953/da0633f8ea437ff767746b3e9bc91e79/small/qiagen-ipa-new-user-training-13-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA new user training</video:title>
            <video:description>&lt;p&gt;Are you new to QIAGEN Ingenuity Pathway Analysis (IPA) or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA.&lt;/p&gt;&lt;p&gt;You’ll learn to:&lt;/p&gt;&lt;p&gt;• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA&lt;/p&gt;&lt;p&gt;• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more&lt;/p&gt;&lt;p&gt;• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts&lt;/p&gt;&lt;p&gt;• Generate a network for hypothesis generation, even without a dataset or experimental design&lt;/p&gt;&lt;p&gt;Already have an IPA license? Install IPA and start using it now:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI"&gt;https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Learn more about IPA or request a free trial:&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/ipa"&gt;https://digitalinsights.qiagen.com/ipa&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2026-01-19T16:03:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6934</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/122050143/automating-insights-scalable</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=122050143</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/122050143/ab5a6a5520784bf1a943b3afb3c94988/video_medium/automating-insights-scalable-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/122050143/ab5a6a5520784bf1a943b3afb3c94988/small/automating-insights-scalable-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Automating insights: Scalable pathway analysis using the QIAGEN IPA APIs</video:title>
            <video:description>&lt;p&gt;As ‘omics datasets grow in size and complexity, automation becomes essential for efficient data interpretation. QIAGEN Ingenuity Pathway Analysis (IPA) is mainly accessed through its desktop client, but it has APIs – powerful tools that enable programmatic access to IPA’s functionalities.&lt;/p&gt;&lt;p&gt;Explore seamless integration of IPA into your bioinformatics pipelines, automate repetitive tasks and scale your pathway analysis across multiple datasets. Whether you are working in drug discovery, toxicology or translational research, IPA’s APIs can help accelerate your insights and improve reproducibility.&lt;/p&gt;&lt;p&gt;· Overview of QIAGEN Ingenuity Pathway Analysis&lt;/p&gt;&lt;p&gt;· Learn how to upload datasets, run core analyses and retrieve results programmatically&lt;/p&gt;&lt;p&gt;· Display a Gene View based on a gene ID&lt;/p&gt;&lt;p&gt;· Show the findings that connect two molecules&lt;/p&gt;&lt;p&gt;· Send a set of genes into IPA to automatically create a pathway&lt;/p&gt;</video:description>
            <video:publication_date>2026-01-08T11:12:32+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2566</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/122046458/investigating-genomic-variants-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=122046458</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/122046458/c9958930f2e6c19f29935a80ed47f8b6/video_medium/investigating-genomic-variants-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/122046458/c9958930f2e6c19f29935a80ed47f8b6/small/investigating-genomic-variants-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Investigating genomic variants using QIAGEN CLC Genomics Workbench, QCI Interpret-Translational (QCII-T), and Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>&lt;p&gt;Discovery of new genes implicated in hereditary diseases or cancer progression is challenging and advancing rapidly with an increase in the amount of cohort data to analyze from next generation sequencing (NGS) data to associations between gene variants and diseases, and finally to biological mechanisms of these gene variants. Combining QIAGEN CLC Genomics Workbench, QCII-T, and IPA, scientists can analyze sequencing data obtained from a variety of NGS technologies, annotate gene variants using the world’s most comprehensive and up-to-date curated scientific evidence, and find biological connections in gene variants with manually curated scientific findings. Get valuable and reliable insights for your research project and speed up your discoveries by using a streamlined NGS analysis workflow.&lt;/p&gt;&lt;p&gt;In this webinar, attendees will have the opportunity to:&lt;/p&gt;&lt;p&gt;1. Learn how to import whole genome or exome sequencing data into QIAGEN CLC Genomics Workbench and use the ultra-fast LightSpeed Module that delivers end-to-end NGS FASTQ to VCF pipeline;&lt;/p&gt;&lt;p&gt;2. Explore capabilities in QCII-T which can enable scientists to accelerate discoveries from hereditary or tumor cohort analyses to find associations between gene variants and diseases;&lt;/p&gt;&lt;p&gt;3. Learn how to use IPA and its manually curated content among other integrated scientific evidence to uncover novel biological mechanisms underlying these gene variants.&lt;/p&gt;</video:description>
            <video:publication_date>2026-01-08T10:19:51+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5258</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/119637939/unlock-biological-insights-for</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=119637939</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/119637939/b00f90b157ba609396c7d0a2e981bc49/video_medium/unlock-biological-insights-for-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/119637939/b00f90b157ba609396c7d0a2e981bc49/small/unlock-biological-insights-for-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Unlock Biological Insights for Bioengineering using QIAGEN IPA</video:title>
            <video:description>&lt;p&gt;Explore how QIAGEN Ingenuity Pathway Analysis (IPA) can accelerate bioengineering research by powering insights into molecular mechanisms, signaling pathways and gene networks. Whether you are working on synthetic biology, tissue engineering or biomaterials, IPA helps translate ‘omics data into actionable biological understanding. See how you can use IPA to design experiments, interpret complex datasets and uncover novel therapeutic targets.&lt;/p&gt;&lt;p&gt;• Understand how IPA supports transcriptomics, proteomics and metabolomics data interpretation.&lt;/p&gt;&lt;p&gt;• Learn how to identify key regulators, canonical pathways and molecular interactions relevant to bioengineering applications.&lt;/p&gt;&lt;p&gt;• Discover how to predict upstream drivers and downstream effects of gene expression changes.&lt;/p&gt;&lt;p&gt;• See how IPA can guide hypothesis generation and experimental planning.&lt;/p&gt;&lt;p&gt;• Explore real-world applications of IPA in synthetic biology, regenerative medicine and biomaterials development.&lt;/p&gt;</video:description>
            <video:publication_date>2025-12-12T18:11:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3755</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/119608818/connected-discovery-scaling-ipa</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=119608818</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/119608818/e774d353d03420a93c1ed42f73f57060/video_medium/connected-discovery-scaling-ipa-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/119608818/e774d353d03420a93c1ed42f73f57060/small/connected-discovery-scaling-ipa-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Connected discovery: Scaling IPA insights across your organization</video:title>
            <video:description>&lt;p&gt;Accelerate discovery by transforming how your team collaborates with QIAGEN Ingenuity Pathway Analysis (IPA). You already know that IPA helps scientists rapidly interpret the causal biology behind their data—identifying upstream regulators, pathways, and mechanistic networks with ease. In this 45-minute vision-generating session, we’ll demonstrate how enterprise-level features in IPA can help your organization move from isolated analyses to a connected, insight-driven discovery engine.&lt;/p&gt;&lt;p&gt;Attendees will learn how to:&lt;/p&gt;&lt;p&gt;• Automate data integration using the IPA Upload API to seamlessly send differential expression results and trigger Core Analyses—making IPA a routine part of your analysis pipeline.&lt;/p&gt;&lt;p&gt;• Streamline collaboration with Collaborative Workspaces (CWS), where team members can automatically access shared results without manual coordination.&lt;/p&gt;&lt;p&gt;• Leverage collective knowledge through Analysis Match, which compares new results against your organization’s entire library of analyses—surfacing relevant compounds, disease models, or experimental signatures in seconds.&lt;/p&gt;&lt;p&gt;Whether you're scaling up internal screening efforts or aligning cross-functional teams, this webinar will show how IPA can unify your data and accelerate your path to discovery.&lt;/p&gt;</video:description>
            <video:publication_date>2025-12-12T01:21:05+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3515</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/119399053/biomarkers-and-drug-target-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=119399053</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/119399053/d560eec0d0e023a0c9c978a04603ce1e/video_medium/biomarkers-and-drug-target-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/119399053/d560eec0d0e023a0c9c978a04603ce1e/small/biomarkers-and-drug-target-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Biomarkers and drug target investigation using manually curated, unified ‘omics data</video:title>
            <video:description>&lt;p&gt;There is an almost incomprehensible amount of diverse, non-standardized ‘omics data deposited in different public sources such as GEO, SRA, TCGA, GTEx and others. Scientists who are interested in biomarker discovery and investigation using such data run into the challenge of finding time and resources to locate studies of their interest and then making it usable by cleaning and standardizing these data. Accordingly, this training is focused on how scientists facing the above challenges can use OmicSoft Lands which has manually curated, unified data which is flexibly accessed through both a web-based portal and APIs.&lt;/p&gt;&lt;p&gt;• Easily and effectively locate RNA and protein expression data of interest (specific diseases, drug treatments, tissues etc.) using the web-based portal as well as OmicSoft Lands APIs&lt;/p&gt;&lt;p&gt;• Conveniently generate charts comparing expression across different conditions of user interest (example disease vs normal, treated vs untreated, responders vs non responders and more)&lt;/p&gt;&lt;p&gt;• Export results in both tabular and graphical formats&lt;/p&gt;</video:description>
            <video:publication_date>2025-12-08T11:05:39+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2890</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/118765734/omicsoft-explorer-hands-on-workshop</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=118765734</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/118765734/e15f3f7a8d1359fa8d901f2b1788b311/video_medium/omicsoft-explorer-hands-on-workshop-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/118765734/e15f3f7a8d1359fa8d901f2b1788b311/small/omicsoft-explorer-hands-on-workshop-thumbnail.jpg</video:thumbnail_loc>
            <video:title> OmicSoft Explorer Hands-on Workshop: Easily search and interpret deeply curated 'omics datasets</video:title>
            <video:description>&lt;p&gt;This hands-on workshop will cover a highly requested use case using OmicSoft Explorer and IPA Interpret, two new features that QIAGEN IPA* and OmicSoft customers can now access.&lt;/p&gt;&lt;p&gt;Specifically, the trainer will go over how to:&lt;/p&gt;&lt;p&gt;• Easily search for deeply curated high-quality 'omics datasets (RNA-seq, scRNA-seq, etc.) based on user-defined criteria (disease name, drug treatment, etc.) curated from sources such as GEO, SRA, TCGA and more&lt;/p&gt;&lt;p&gt;• Explore project details to gain a better understanding of the experimental setup and sample metadata&lt;/p&gt;&lt;p&gt;• Study volcano plots to identify biomarkers associated with conditions of interest&lt;/p&gt;&lt;p&gt;• Generate sharable pathway analysis reports that provide insights into disease pathology, drug mechanism of action, cellular processes and more&lt;/p&gt;&lt;p&gt;*with a premium license.&lt;/p&gt;&lt;p&gt;IPA Interpret and OmicSoft Explorer are now available through both IPA and OmicSoft. Learn more: &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA4Sc00000023mbKAA&amp;amp;categoryName=BioX"&gt;https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA4Sc00000023mbKAA&amp;amp;categoryName=BioX&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-11-20T15:28:06+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5243</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/118758577/from-signature-to-strategy-drug</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=118758577</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/118758577/d52dce4e5bac6996d998d209bb75c48f/video_medium/from-signature-to-strategy-drug-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/118758577/d52dce4e5bac6996d998d209bb75c48f/small/from-signature-to-strategy-drug-thumbnail.jpg</video:thumbnail_loc>
            <video:title>From Signature to Strategy: Drug Repurposing and Indication Expansion with QIAGEN Tools</video:title>
            <video:description>&lt;p&gt;Discover how QIAGEN Ingenuity Pathway Analysis (IPA) and OmicSoft Studio empower researchers to uncover hidden synergies within their existing drug portfolios. Whether you're exploring new indications or repurposing known compounds, these tools provide a data-driven framework to accelerate discovery and reduce development costs.&lt;/p&gt;&lt;p&gt;Learn how to:&lt;/p&gt;&lt;p&gt;• Diagram their current pipeline of drugs, targets and indications using IPA’s network construction and overlay tools&lt;/p&gt;&lt;p&gt;• Introduce a new gene signature and assess its interaction with known targets and pathways&lt;/p&gt;&lt;p&gt;• Query curated real-world datasets from OmicSoft Lands to validate predicted interactions and uncover novel therapeutic opportunities&lt;/p&gt;&lt;p&gt;• Compare gene profiles against disease vs. normal datasets to identify candidates for indication expansion&lt;/p&gt;&lt;p&gt;Join us to see how integrating deeply curated ‘omics data with predictive analytics can transform your drug development strategy.&lt;/p&gt;</video:description>
            <video:publication_date>2025-11-20T13:35:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3316</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/118507964/single-cell-rna-seq-data</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=118507964</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/118507964/a6b750adfc1e350e96e138497a35e25a/video_medium/single-cell-rna-seq-data-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/118507964/a6b750adfc1e350e96e138497a35e25a/small/single-cell-rna-seq-data-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single-cell RNA-seq data interpretation using QIAGEN IPA</video:title>
            <video:description>&lt;p&gt;In this webinar, the speaker will go over how to:&lt;/p&gt;&lt;p&gt;• Identify critical pathways and networks in your single cell data, giving you insight into biological mechanisms&lt;/p&gt;&lt;p&gt;• Discover novel regulators, master regulators and biomarkers associated with different cell types&lt;/p&gt;&lt;p&gt;• Compare different cell clusters through pathways/networks activity heatmap to understand differences between your cell types or experimental groups&lt;/p&gt;&lt;p&gt;• Generate interactive IPA Interpret reports for sharing and collaboration&lt;/p&gt;&lt;p&gt;• Export high resolution images and tabular results for posters, publications and biopharma reports&lt;/p&gt;</video:description>
            <video:publication_date>2025-11-13T15:00:57+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3286</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/118471109/omics-to-insights-leveraging-qiagen</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=118471109</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/118471109/d9105ce71197e45e7e5ceb8d77a5baff/video_medium/omics-to-insights-leveraging-qiagen-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/118471109/d9105ce71197e45e7e5ceb8d77a5baff/small/omics-to-insights-leveraging-qiagen-thumbnail.jpg</video:thumbnail_loc>
            <video:title> ‘Omics to Insights: Leveraging QIAGEN IPA for Pre-Clinical Toxicology and Safety</video:title>
            <video:description>&lt;p&gt;Pre-clinical toxicology studies generate complex datasets that require robust interpretation to identify potential safety liabilities early in drug development. QIAGEN Ingenuity Pathway Analysis (IPA) can help uncover mechanistic insights, predict toxicity outcomes and support decision-making in pre-clinical safety assessments. Explore how you can apply IPA to ‘omics data to identify toxicity signatures, understand mode of action (MoA) and prioritize biomarkers.&lt;/p&gt;&lt;p&gt;· Overview of QIAGEN Ingenuity Pathway Analysis&lt;/p&gt;&lt;p&gt;· Find transcriptomic and proteomic data from pre-clinical and clinical studies and gain mechanistic insights using OmicSoft Explorer and Ingenuity Pathway Analysis&lt;/p&gt;&lt;p&gt;· Visualize and interpret complex biological relationships that may be behind toxicity mechanisms using network construction&lt;/p&gt;&lt;p&gt;· Prioritize candidate biomarkers for safety monitoring using biomarker tools and OmicSoft Land Explorer&lt;/p&gt;</video:description>
            <video:publication_date>2025-11-12T16:42:51+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4321</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/118454121/qiagen-ipa-new-user-training-11</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=118454121</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/118454121/99ae57966a120c66f996831570fa90e9/video_medium/qiagen-ipa-new-user-training-11-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/118454121/99ae57966a120c66f996831570fa90e9/small/qiagen-ipa-new-user-training-11-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA New User Training</video:title>
            <video:description>&lt;p&gt;Are you new to QIAGEN Ingenuity Pathway Analysis (IPA) or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA.&lt;/p&gt;&lt;p&gt;You’ll learn to:&lt;/p&gt;&lt;p&gt;• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA&lt;/p&gt;&lt;p&gt;• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more&lt;/p&gt;&lt;p&gt;• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts&lt;/p&gt;&lt;p&gt;• Generate a network for hypothesis generation, even without a dataset or experimental design&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Already have an IPA license? Install IPA and start using it now:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI"&gt;https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Learn more about IPA or request a free trial: &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/ipa"&gt;https://digitalinsights.qiagen.com/ipa&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-11-12T11:40:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6763</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/118447890/single-cell-rna-seq-and-spatial</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=118447890</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/118447890/dfb1c7b72130ead9a62cf283a3ed04f1/video_medium/single-cell-rna-seq-and-spatial-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/118447890/dfb1c7b72130ead9a62cf283a3ed04f1/small/single-cell-rna-seq-and-spatial-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single Cell RNA-Seq and Spatial Transcriptomics</video:title>
            <video:description>&lt;p&gt;In this webinar, the speaker will cover how to simplify your single cell RNA-seq analysis with biologist-friendly point and click tools.&lt;/p&gt;&lt;p&gt;• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries&lt;/p&gt;&lt;p&gt;• Generate dimension reduction (UMAP, t-SNE) plots to understand differences between cell clusters/experimental conditions&lt;/p&gt;&lt;p&gt;• Identify and study clusters and cell types specific biomarkers using differential expression tables, gene expression heat maps, dot plots and violin plots&lt;/p&gt;&lt;p&gt;• Generate desired cell annotations using hashtags&lt;/p&gt;&lt;p&gt;• Visualize and investigate spatial transcriptomics plot using your Cell Ranger output to better understand cellular organization and generate hypothesis&lt;/p&gt;&lt;p&gt;• Use preconfigured but customizable pipelines/workflows for single-cell RNA-seq data&lt;/p&gt;</video:description>
            <video:publication_date>2025-11-12T10:25:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2817</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/118222075/the-increasing-accessibility-of</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=118222075</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/118222075/c5ecf3b5169ff198fefee28673e60237/video_medium/the-increasing-accessibility-of-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/118222075/c5ecf3b5169ff198fefee28673e60237/small/the-increasing-accessibility-of-thumbnail.jpg</video:thumbnail_loc>
            <video:title>The increasing Accessibility of Cell Therapy, Gene Therapy, and Clinical Sequencing</video:title>
            <video:description>&lt;p&gt;Precision medicine is rapidly transforming healthcare, and one of the most significant accelerators of its progress has been the dramatic reduction in cost. In this webinar, we explore how innovations in genomics and biotherapeutics are making advanced, personalized healthcare more accessible and affordable than ever before. Dr. George M. Church will examine how the cost of whole genome sequencing has been reduced from $3 billion per haploid genome—previously unusable in clinical settings—to just $300 per phased diploid genome today. We’ll also look at the economics behind cell therapy, such as blood transfusions (now as low as $200), and gene therapy technologies like mRNA vaccines (available for as little as $30).&lt;/p&gt;</video:description>
            <video:publication_date>2025-11-06T15:51:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3485</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/118132491/mapping-the-human-body-one-cell-at</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=118132491</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/118132491/0817251010eb20c320637636337fa1a4/video_medium/mapping-the-human-body-one-cell-at-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/118132491/0817251010eb20c320637636337fa1a4/small/mapping-the-human-body-one-cell-at-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Mapping the Human Body One Cell at a Time</video:title>
            <video:description>&lt;p&gt;The 37 trillion cells of the human body have a remarkable array of specialized functions and must cooperate in time and space to construct a functioning human.&lt;/p&gt;&lt;p style="text-align: start"&gt;In this webinar, Sarah Teichmann, professor of stem cell medicine at the University of Cambridge and co-founder and co-leader of the International Human Cell Atlas Consortium, discusses how her lab harnesses cutting-edge single-cell and spatial genomics to better understand this cellular diversity — specifically, how distinct microenvironments regulate cell identity.&lt;/p&gt;&lt;p style="text-align: start"&gt;The lab’s spatial atlas of the adult human heart includes the first comprehensive map of the conduction system, and it harnessed the unique molecular signature of the very rare pacemaker cells to make predictions about potential drug activities. Moving from the single organ to the systems level, Teichmann’s team revealed the context-specific and context-agnostic features of the vasculature across the body.&lt;/p&gt;&lt;p style="text-align: start"&gt;Finally, the team has taken cell atlases into 3D and 4D with its thymus atlases. Studying thymus development uncovered the rules of T-cell identity, which Teichmann’s team then harnessed in the dish to engineer T cells from thymic organoids. The lab also used advanced spatial and computational methods to map T-cell development to a continuous tissue axis, identifying the key spatial and temporal features of this crucial developmental trajectory.&lt;/p&gt;</video:description>
            <video:publication_date>2025-11-04T19:09:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2989</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117895325/investigating-biomarkers-with-bulk-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117895325</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/117895325/25c460b17bcf9f21d20a20fa31a03e58/video_medium/investigating-biomarkers-with-bulk-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/117895325/25c460b17bcf9f21d20a20fa31a03e58/small/investigating-biomarkers-with-bulk-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating biomarkers with bulk and single-cell RNA-seq expression data</video:title>
            <video:description>&lt;p&gt;QIAGEN Ingenuity Pathway Analysis (IPA) is designed to help you analyze and compare different types of 'omics data. In this webinar, we’ll compare bulk RNA-seq and single-cell RNA-seq data to identify common regulators/targets and see how those regulators/targets associate with your phenotype of interest. We will also use sample-level public data to validate gene expression of common genes in tissues and/or cell type of interest.&lt;/p&gt;&lt;p&gt;You'll learn how to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Generate a Comparison Analysis for bulk and single-cell RNA-seq&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Identify significant common genes with the Compare feature&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Build a custom network associating common genes to a phenotype&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Examine sample- and cell-level expression in OmicSoft content&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-10-29T14:29:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4423</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117848531/deliver-clinical-molecular-insights</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117848531</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/117848531/329b5bafc47160923a30b713e075904a/video_medium/deliver-clinical-molecular-insights-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/117848531/329b5bafc47160923a30b713e075904a/small/deliver-clinical-molecular-insights-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Deliver Clinical Molecular Insights at Scale with QCI Precision Insights</video:title>
            <video:description>&lt;p&gt;Cancer care has been transformed by comprehensive molecular profiling and targeted therapies&amp;nbsp;– but with improvements in sample analysis technologies, the volume of information and burden of interpretation has exploded. Physicians need guidance from the laboratories to translate molecular results into clear treatment paths. And with the pace of innovation only accelerating, the gap between discovery and actionable insight is widening fast. Laboratories need resources to help them to manage the information and communicate it to physicians in a reliable and efficient manner.&lt;/p&gt;&lt;p&gt;That’s why leading labs are turning to QCI Precision Insights (formerly N-of-One), a professional clinical variant interpretation service for molecular oncology:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Trusted, reliable information: A dedicated team of PhD scientists and consulting oncologists translates complex biomarkers into clear, actionable guidance, including report-ready content for the physician to review.&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Real-world clinical impact: Interpretation is supported with FDA drug labels, practice guidelines, clinical trials, and peer-reviewed literature.&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Confidence for physicians, better care for patients: Delivers the insights oncologists need to make faster, more informed decisions – so patients get the right therapy at the right time.&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-10-28T14:04:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3093</video:duration>
            <video:category>QCI PI</video:category>
            <video:tag>qci</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117733127/investigate-critical-biological</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117733127</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/117733127/bc82603092b56e32746bc980d6b6a52a/video_medium/investigate-critical-biological-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/117733127/bc82603092b56e32746bc980d6b6a52a/small/investigate-critical-biological-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigate critical biological mechanisms using pathways and knowledge graphs</video:title>
            <video:description>&lt;p&gt;Pathways and knowledge graphs have provided valuable insights into disease pathology, toxicology, target safety assessment, drug MOA and biological mechanisms in general. Though this is not possible without a high quality, reliable database. QIAGEN Knowledgebase is a comprehensive database with causal reasoning that is regularly updated from trusted peer-review publications and other sources using both high quality manual curation and utilizing AI/ML approaches.&lt;/p&gt;&lt;p&gt;In this webinar the trainer will&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Introduce the QIAGEN Knowledgebase&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Demonstrate how the user can take advantage of an easy-to-use graphical interface to study pathways and networks of interest&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Show how this database can be accessed programmatically for applications such as knowledge graph investigation&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-10-24T13:16:04+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3271</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>bkb</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117724461/single-cell-rna-seq-cell-hashing-4</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117724461</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/117724461/e23896e5dbec242d84758816e39302a0/video_medium/single-cell-rna-seq-cell-hashing-4-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/117724461/e23896e5dbec242d84758816e39302a0/small/single-cell-rna-seq-cell-hashing-4-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single-cell RNA-seq, cell hashing and spatial transcriptomics</video:title>
            <video:description>&lt;p&gt;In this training, you will learn how to analyze and interpret your own single cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files.&lt;/p&gt;&lt;p&gt;Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single cell RNA-seq data. Specifically, you will learn how to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Import your raw FASTQ or processed cell-matrix files.&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Use pre-configured but customizable pipelines/workflows for single cell RNA-seq data.&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Generate high resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries.&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Dimension reduction (UMAP, t-SNE) plots&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Differential expression table for clusters, cell types, or combination of both&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Heat map&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Dot plots&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Violin plots&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-10-24T09:39:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4654</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117689998/16s18sits-sequencing-analysis-using-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117689998</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/117689998/a55e2b8abb882d88d716a26778a5b8dd/video_medium/16s18sits-sequencing-analysis-using-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/117689998/a55e2b8abb882d88d716a26778a5b8dd/small/16s18sits-sequencing-analysis-using-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>16S/18S/ITS sequencing analysis using CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;QIAGEN CLC Microbial Genomics Module provides tools and workflows for a broad range of bioinformatics applications, including microbiome analysis, isolate characterization, functional metagenomics and antimicrobial resistance characterization. The module supports the analysis of bacterial, viral and eukaryotic (fungal) genomes and metagenomes.&lt;/p&gt;&lt;p&gt;This training will be focused on amplicon-based taxonomic profiling (16S/18S/ITS sequencing OTU clustering). The trainer will cover:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Overview of different tools within QIAGEN CLC Microbial Genomics Module and supported research areas&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;For taxonomic profiling:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Importing data&amp;nbsp;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Utilization of metadata&amp;nbsp;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Downloading and managing references&amp;nbsp;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Walk through of OTU clustering workflow (analytical pipeline)&amp;nbsp;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Downstream processing of abundance tables&amp;nbsp;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Creating and exporting high-quality graphics&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-10-23T15:44:59+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5242</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>workbench</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117688883/using-omicsoft-oncoland-to-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117688883</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/117688883/2c0aa3006fafe848273bb6b8627f8543/video_medium/using-omicsoft-oncoland-to-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/117688883/2c0aa3006fafe848273bb6b8627f8543/small/using-omicsoft-oncoland-to-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Using OmicSoft OncoLand to integrate public expression and somatic mutation data for biomarker discovery</video:title>
            <video:description>&lt;p&gt;QIAGEN OmicSoft Lands are high-quality curated repositories of genomics and proteomics data sourced from public, published studies (GEO, EBI, SRA) and consortia (TCGA, CPTAC, GTEx, and more). Because of our expert curation and stringent quality checks, OmicSoft users can deeply investigate across diverse oncology and normal tissue/cell datasets to discover and validate candidate drug targets and biomarkers.&lt;/p&gt;&lt;p&gt;In this training, attendees will use OmicSoft Studio, our graphical user interface, to access public data from The Cancer Genome Atlas (TCGA). Using this data, you will learn how to:&lt;/p&gt;&lt;p&gt;• View gene expression and somatic mutation frequency across different tumor types and conditions&lt;/p&gt;&lt;p&gt;• Identify genes whose expression correlates or anti-correlates with mutation of your target&lt;/p&gt;&lt;p&gt;• Prioritize your candidate biomarkers using expression data across comparisons (tumor vs. normal, MUT vs. WT, etc.)&lt;/p&gt;&lt;p&gt;• Establish survival consequences from changes in your candidate biomarker’s expression or mutation status&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-23T15:20:29+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5276</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117643138/qiagen-ipa-new-user-training-10</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117643138</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/117643138/56c4f2a7fd38a5c9ccbb9b45661dd7bf/video_medium/qiagen-ipa-new-user-training-10-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/117643138/56c4f2a7fd38a5c9ccbb9b45661dd7bf/small/qiagen-ipa-new-user-training-10-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA new user training</video:title>
            <video:description>&lt;p&gt;Are you new to QIAGEN Ingenuity Pathway Analysis (IPA) or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA.&lt;/p&gt;&lt;p style="text-align: start"&gt;You’ll learn to:&lt;/p&gt;&lt;p style="text-align: start"&gt;• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA&lt;/p&gt;&lt;p style="text-align: start"&gt;• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more&lt;/p&gt;&lt;p style="text-align: start"&gt;• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts&lt;/p&gt;&lt;p style="text-align: start"&gt;• Generate a network for hypothesis generation, even without a dataset or experimental design&lt;/p&gt;&lt;p style="text-align: start"&gt;Already have an IPA license? Install IPA and start using it now: &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI"&gt;https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI&lt;/a&gt;&lt;/p&gt;&lt;p style="text-align: start"&gt;Learn more about IPA or request a free trial: &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/ipa"&gt;https://digitalinsights.qiagen.com/ipa&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-22T13:01:01+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6876</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117640656/spatial-omics-meets-network-biology</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117640656</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/117640656/ff856767d961c4fb96ea6223daa44dba/video_medium/spatial-omics-meets-network-biology-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/117640656/ff856767d961c4fb96ea6223daa44dba/small/spatial-omics-meets-network-biology-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Spatial ‘omics meets network biology: Actionable insights into target and biomarker discovery</video:title>
            <video:description>&lt;p&gt;Discover actionable drug targets in your spatial transcriptomics data with systems biology and network analysis.&lt;/p&gt;&lt;p style="text-align: start"&gt;In this 60-minute session, we’ll start with differential expression data and explore ways to derive biological insights across experimental observations. Then, we’ll investigate and compare these findings across other harmonized and curated data.&lt;/p&gt;&lt;p style="text-align: start"&gt;We’ll show you how to:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Identify regions of interest in oral squamous cell carcinoma biopsies&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Generate new networks by connecting genes to functional hallmarks of cancer&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Predict upstream regulators and activity in a custom network with new causal analysis on the fly features&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Test potential drug targets with in-silico experimentation&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Overlay data and save custom network patterns of interest for causal scoring in future experiments&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Explore other indications and potential treatments with curated, harmonized data&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style="text-align: start"&gt;Find out what happens when spatial ‘omics data meets network biology.&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-22T12:13:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1958</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117333668/unveiling-cosmics-secret-curating</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117333668</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/117333668/7634b4a7d719d3a73b61ebcad7ac597a/video_medium/unveiling-cosmics-secret-curating-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/117333668/7634b4a7d719d3a73b61ebcad7ac597a/small/unveiling-cosmics-secret-curating-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Unveiling COSMIC’s secret: Curating gene and somatic variant data to power research and clinical oncology </video:title>
            <video:description>&lt;p&gt;The Cancer Gene Census (CGC) is a widely used module within the Catalogue Of Somatic Mutations In Cancer (COSMIC) that comprises an ongoing effort to catalogue and describe all genes with causal impact in human cancer. In CGC, genes are characterized according to their roles in cancer – tumor suppressor, oncogene or fusion gene – and divided into two tiers based on the strength of supporting evidence. On&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;October 15, our COSMIC and QIAGEN field applications experts will walk you through the scientific and curation processes behind CGC.&amp;nbsp;We will also explore another module, the Cancer Mutation Census (CMC), which classifies coding variants according to their computed pathogenicity. This helps prioritize variants by highlighting mutations with proven functional or clinical relevance, supporting faster interpretation and decision-making.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;You will learn about:&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;•&amp;nbsp;The criteria used to evaluate genes for inclusion into the CGC&lt;/p&gt;&lt;p&gt;• The structured information captured within the CGC and CMC modules&lt;/p&gt;&lt;p&gt;• Their real-world applications across research and clinical contexts&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Speaker Info:&amp;nbsp;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Ellen Wiedemann is an Application Scientist at the Welcome Sanger Institute with over a decade of experience in next-generation sequencing (NGS) and bioinformatics.&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Kyle Nilson, PhD is a sequencing-focused molecular biologist with a background in biochemistry and technical support. As a field software trainer at QIAGEN Digital Insights, Dr. Nilson works closely with our global bioinformatics team to provide direct customer support and assist with software training, implementation and optimization.&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-10-13T01:16:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2500</video:duration>
            <video:category>COSMIC</video:category>
            <video:tag>cosmic</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117124258/myclc-overview</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117124258</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/117124258/7de71ce06c3eaf891ef14218a8ecab35/video_medium/myclc-overview-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/117124258/7de71ce06c3eaf891ef14218a8ecab35/small/myclc-overview-thumbnail.jpg</video:thumbnail_loc>
            <video:title>MyCLC Overview</video:title>
            <video:description>&lt;p&gt;This video provides a quick introduction to myCLC. If you do not already have access to myCLC Please contact &lt;a target="_blank" rel="noopener noreferrer nofollow" href="mailto:bioinformaticslicense@qiagen.com"&gt;&lt;strong&gt;bioinformaticslicense@qiagen.com&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Also, check out these FAQ pages:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5oJCAS&amp;amp;categoryName=CLC_Software"&gt;What is myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5o1CAC&amp;amp;categoryName=CLC_Software"&gt;How can I get access to myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L64eCAC&amp;amp;categoryName=CLC_Software"&gt;How can I find information about my CLC licenses?&lt;/a&gt;&amp;nbsp; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5oOCAS&amp;amp;categoryName=CLC_Software"&gt;How can I add someone as a technical contact to myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5o4CAC&amp;amp;categoryName=CLC_Software"&gt;How can I view information for another myCLC account?&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-06T14:47:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>162</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>tutorials</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117124226/how-to-create-a-track-list-in-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117124226</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/117124226/00a9a80bdc8ea998ae469a7c30cd3af8/video_medium/how-to-create-a-track-list-in-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/117124226/00a9a80bdc8ea998ae469a7c30cd3af8/small/how-to-create-a-track-list-in-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to Create a Track list in CLC</video:title>
            <video:description>&lt;p&gt;In this video you can learn how to import tracks and create a track list in CLC. Track lists enable users to view multiple track elements at once. Track lists also feature an interactive link between the table view and the plot view.&lt;/p&gt;&lt;p&gt;Use track lists to browse genomic features, zoom into regions of interest, visualize read mappings, inspect variants, and more. Please also see this manual page for more details:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Track_lists.html"&gt;https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Track_lists.html&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-06T14:47:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>405</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117124119/create-publication-ready-volcano</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117124119</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/117124119/f7ee99abcdab1efdf3040a0b65e48d6f/video_medium/create-publication-ready-volcano-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/117124119/f7ee99abcdab1efdf3040a0b65e48d6f/small/create-publication-ready-volcano-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Create publication-ready volcano plots for RNA-sq data using CLC genomics Workbench</video:title>
            <video:description>&lt;p&gt;This video shows how to customize volcano plots in CLC Genomics Workbench. Check out these tutorials for more RNA-seq related topics:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/support/tutorials/#:~:text=Expression%20and%20fusions"&gt;https://digitalinsights.qiagen.com/support/tutorials/#:~:text=Expression%20and%20fusions&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-06T14:45:14+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>286</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117123974/comparing-analysis-parameters-using</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117123974</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/117123974/180d68889c6f05331527767a7f5507aa/video_medium/comparing-analysis-parameters-using-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/117123974/180d68889c6f05331527767a7f5507aa/small/comparing-analysis-parameters-using-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Comparing Analysis Parameters using the History View in CLC</video:title>
            <video:description>&lt;p&gt;The history view keeps track of what tools and parameters were used to generate results in CLC. This video shows how the history view can be used to compare two different analyses when the results are unexpected.&lt;/p&gt;&lt;p&gt;Details about the history view can be found on this manual page:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=History_Element_Info_views.html"&gt;https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=History_Element_Info_views.html&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-06T14:42:59+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>207</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117123903/batch-mode-in-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117123903</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/117123903/05b87d31fce058d5f7a4897c7dcff02d/video_medium/batch-mode-in-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/117123903/05b87d31fce058d5f7a4897c7dcff02d/small/batch-mode-in-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Batch Mode in CLC</video:title>
            <video:description>&lt;p&gt;In this video we introduce sample batching using CLC tools. This can be helpful when you need to perform the same analysis on a large number of files. Also see this manual page&amp;nbsp; for more details:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Batch_processing.html"&gt;https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Batch_processing.html&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-06T14:41:33+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>233</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117123756/analyzing-samples-with-multiple</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117123756</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/117123756/f2599aa79eac7a64f18c1381d2ccf904/video_medium/analyzing-samples-with-multiple-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/117123756/f2599aa79eac7a64f18c1381d2ccf904/small/analyzing-samples-with-multiple-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Analyzing Samples with Multiple Inputs in CLC</video:title>
            <video:description>&lt;p&gt;This video demonstrates how to analyze multiple input files per sample using batch mode. Please also see this FAQ page for more details:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5tACAS&amp;amp;categoryName=CLC_Software"&gt;How can I run a batch job with multiple libraries for each sample?&lt;/a&gt;&amp;nbsp; &amp;nbsp;&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-06T14:39:27+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>154</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117114333/somatic-variant-detection-with</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117114333</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/117114333/c6173c6be90542424cd3a56502cd5411/video_medium/somatic-variant-detection-with-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/117114333/c6173c6be90542424cd3a56502cd5411/small/somatic-variant-detection-with-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Somatic variant detection with Twist Oncology and QIAGEN CLC</video:title>
            <video:description>&lt;p&gt;See how highly sensitive somatic detection of classic tumor reference samples is made possible through the Twist Oncology - DNA CGP Panel™ combined with downstream analysis using QIAGEN® CLC Genomics Workbench.&lt;/p&gt;&lt;p style="text-align: start"&gt;&lt;/p&gt;&lt;p style="text-align: start"&gt;What is the Twist Oncology - DNA CGP Panel?&lt;/p&gt;&lt;p style="text-align: start"&gt;It is a panel from Twist Biosciences® that is designed for the comprehensive genomic profiling (CGP) of solid tumors to find pathogenic variants. It also supports the scoring of microsatellite instability (MSI) and tumor mutational burden (TMB).&lt;/p&gt;&lt;p style="text-align: start"&gt;&amp;nbsp;&lt;/p&gt;&lt;p style="text-align: start"&gt;What is QIAGEN CLC Genomics Workbench?&lt;/p&gt;&lt;p style="text-align: start"&gt;A powerful all-in-one analysis and visualization toolkit, it is software filled with various tools and workflows tailored to next-generation sequencing (NGS) data, including data from a wide range of resequencing panel designs.&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-06T12:30:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1536</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117057396/scale-up-ngs-bioinformatics-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117057396</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/117057396/3a3ea5e6882cb2cecda5cf8b09c69c3e/video_medium/scale-up-ngs-bioinformatics-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/117057396/3a3ea5e6882cb2cecda5cf8b09c69c3e/small/scale-up-ngs-bioinformatics-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Scale up NGS bioinformatics analysis throughput with QIAGEN CLC Genomics Server and Cloud solutions</video:title>
            <video:description>&lt;p&gt;More and more biopharma and academic groups are looking to process a large number of samples simultaneously or for a quicker turnaround time. This webinar will introduce a flexible and powerful setup for running your NGS sequence analyses through servers or Amazon Web Services (AWS). See how QIAGEN CLC Genomics Workbench can be used to customize workflows and send analyses for batch execution. We will also highlight analysis automation solutions, use of third-party dockers, audit trails and user management – all of which are available within the CLC Genomics Server software.&lt;/p&gt;&lt;p style="text-align: start"&gt;You will learn to:&lt;/p&gt;&lt;p style="text-align: start"&gt;• Customize template workflows to meet your NGS analysis requirements&lt;/p&gt;&lt;p style="text-align: start"&gt;• Set up a CLC Genomics Cloud environment on AWS&lt;/p&gt;&lt;p style="text-align: start"&gt;• Submit workflows to run on internal servers or AWS and retrieve results from these analyses&lt;/p&gt;&lt;p style="text-align: start"&gt;• Use third-party dockers and automate workflow execution&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-03T10:24:50+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5150</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/117037537/rna-seq-data-analysis-and-4</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=117037537</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/117037537/06c7bb1606b41859d7500af99f2a282c/video_medium/rna-seq-data-analysis-and-4-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/117037537/06c7bb1606b41859d7500af99f2a282c/small/rna-seq-data-analysis-and-4-thumbnail.jpg</video:thumbnail_loc>
            <video:title>RNA-Seq Data Analysis and Interpretation using QIAGEN CLC Genomics Workbench and IPA</video:title>
            <video:description>&lt;p&gt;The increasing adoption of next-generation sequencing in many fields has made RNA-seq data analysis and interpretation essential skills for researchers. In this webinar, discover how you can effortlessly process FASTQ files with QIAGEN CLC Genomics Workbench (CLC). Next, you will import differential expression results directly into QIAGEN Ingenuity Pathway Analysis (IPA) for downstream analysis – enabling a smooth path from data to discovery.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;You will learn how to:&lt;/p&gt;&lt;p&gt;• Use CLC to map reads to a reference genome, generate gene/transcript counts and QC reports&lt;/p&gt;&lt;p&gt;• Use CLC to visualize results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams and more&lt;/p&gt;&lt;p&gt;• Use IPA to identify enriched canonical pathways, diseases and biological functions and predicted upstream regulators&lt;/p&gt;&lt;p&gt;• Use IPA to compare your analysis results to over 200,000 analyses curated from public ‘omics datasets – including your own projects – to find similarities and differences in pathways, upstream regulators and diseases&lt;/p&gt;</video:description>
            <video:publication_date>2025-10-02T18:06:20+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5514</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/116903428/ipa-interpret-a-hands-on-workshop</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=116903428</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/116903428/6de6c1e2c47af938d2daf8dd39fcd290/video_medium/ipa-interpret-a-hands-on-workshop-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/116903428/6de6c1e2c47af938d2daf8dd39fcd290/small/ipa-interpret-a-hands-on-workshop-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Interpret: A hands-on workshop</video:title>
            <video:description>&lt;p&gt;Now, you can access and share the interpretative power of QIAGEN Ingenuity Pathway Analysis (IPA) in an easy-to-consume format – without installing any extra software. IPA Interpret identifies and summarizes the biological themes in your results with the help of AI, creating a shareable, interactive report.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;You will learn how to:&lt;/p&gt;&lt;p&gt;• Create an IPA Interpret report that can be easily shared with others&lt;/p&gt;&lt;p&gt;• Gain valuable insight into critical biological pathways, key regulators and more with just a few clicks&lt;/p&gt;&lt;p&gt;• Easily customize charts, such as the highly popular volcano bubble chart, taking advantage of new features introduced with recent updates&lt;/p&gt;&lt;p&gt;• Export both graphical and tabular results&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Please make sure you can open the following IPA interpret report for this hands-on workshop:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://analysis.ingenuity.com/ipw/RVy_DS08o_2CDODA-BNBIg"&gt;https://analysis.ingenuity.com/ipw/RVy_DS08o_2CDODA-BNBIg&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Please feel free to reach out to us if you run into any issues.&lt;/p&gt;</video:description>
            <video:publication_date>2025-09-29T22:51:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5816</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/116903353/discover-microbial-functional</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=116903353</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/116903353/6a52640d6029aceaa8619a6666a24def/video_medium/discover-microbial-functional-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/116903353/6a52640d6029aceaa8619a6666a24def/small/discover-microbial-functional-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discover Microbial Functional Insights with QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Join us for an in-depth webinar showcasing the discovery of functional insights in microbial communities using QIAGEN CLC Genomics Workbench tools. Ideal for microbiologists, bioinformaticians and researchers aiming to uncover functional signatures in microbial communities and drive data-driven discoveries, you will learn how to perform a comprehensive whole metagenome functional analysis, from raw NGS data to functional profiling and visualization.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Whether you are working with experimental or clinical samples, this session will equip you with a robust, scalable pipeline for comparative functional metagenomics.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Learn how to:&lt;/p&gt;&lt;p&gt;• Import and prepare raw NGS data&lt;/p&gt;&lt;p&gt;• Assemble metagenomes into contigs&lt;/p&gt;&lt;p&gt;• Map reads and bin pangenomes by sequence&lt;/p&gt;&lt;p&gt;• Identify genes and coding DNA sequences (CDS)&lt;/p&gt;&lt;p&gt;• Annotate functional elements using Gene Ontology (GO) and Pfam domains&lt;/p&gt;&lt;p&gt;• Build functional profiles to explore diversity&lt;/p&gt;&lt;p&gt;• Visualize and analyze functional differences across sample groups&lt;/p&gt;</video:description>
            <video:publication_date>2025-09-29T22:36:40+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4433</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/116892196/fast-track-inherited-disease</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=116892196</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/116892196/c549f5f6886757ac2e5ec48493e55e92/video_medium/fast-track-inherited-disease-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/116892196/c549f5f6886757ac2e5ec48493e55e92/small/fast-track-inherited-disease-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Fast-track inherited disease insights from your variant data with HGMD Pro</video:title>
            <video:description>&lt;p&gt;From clinicians to translational researchers to drug developers, everyone is feeling the pressure to match patients with the right therapy faster. The challenge intensifies with rare and inherited diseases, where information is limited and affected individuals are few and scattered across the world.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;But you can cut weeks from your variant interpretation workflow – without compromising accuracy. On September 24, see how Human Gene Mutation Database (HGMD) Professional can shorten the path to germline variant insights using expert-curated data. Explore almost 30 years of curated variant knowledge, spanning over 17,600 genes and more than 38,000 phenotypes.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Learn how you can use HGMD Pro to:&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;• Distinguish clinically significant variants from VUS  &lt;/p&gt;&lt;p&gt;• Use batch search vs. advanced search  &lt;/p&gt;&lt;p&gt;• Curate genes using HGMD Pro’s accurate, up-to-date information  &lt;/p&gt;&lt;p&gt;• Identify the predominant genetic variant in a specific gene to understand the genetic mechanisms underlying associated diseases  &lt;/p&gt;&lt;p&gt;• Answer other variant-related questions&lt;/p&gt;</video:description>
            <video:publication_date>2025-09-29T17:01:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3470</video:duration>
            <video:category>HGMD</video:category>
            <video:tag>hgmd</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/116603855/workflow-construction-and-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=116603855</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/116603855/a153a1d2db28f6f754cc0b9b055a5e43/video_medium/workflow-construction-and-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/116603855/a153a1d2db28f6f754cc0b9b055a5e43/small/workflow-construction-and-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Workflow construction and customization using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;QIAGEN CLC Genomics Workbench allows easy construction and customization of variety of bioinformatic analysis workflows such as DNA-seq, RNA-seq, De Novo Assembly and more. Per feedback received, this session will focus on&lt;/p&gt;&lt;p&gt;• A quick and brief introduction to CLC Genomics Workbench&lt;/p&gt;&lt;p&gt;• How to construct a workflow&lt;/p&gt;&lt;p&gt;• How to add or remove different steps&lt;/p&gt;&lt;p&gt;• How to customize different parameters&lt;/p&gt;&lt;p&gt;• How to execute the workflow&lt;/p&gt;&lt;p&gt;• (Optional) How to install the workflow&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</video:description>
            <video:publication_date>2025-09-18T23:59:24+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3318</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/116465220/influenza-virus-typing-and-variant</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=116465220</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/116465220/d890027666527a47113666a745ec7c37/video_medium/influenza-virus-typing-and-variant-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/116465220/d890027666527a47113666a745ec7c37/small/influenza-virus-typing-and-variant-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Influenza Virus Typing and Variant Detection Using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Join us for a focused webinar showcasing the Type Influenza Strain workflow within QIAGEN CLC Genomics Workbench. This streamlined, template-based workflow enables efficient typing of targeted Influenza virus sequencing data by integrating consensus sequence refinement, reference-based subtype identification and mixed-infection variant detection.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;We’ll show how the workflow:&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Automatically determines Influenza virus type and subtype&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Outputs annotated consensus sequences with gene and CDS tracks for intuitive visualization&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Detects low-frequency variants that may indicate mixed infections&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Presents results in a consolidated, interactive track list in both nucleotide and amino acid views&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Whether you’re tracking circulating strains or monitoring for emerging variants, this workflow offers a rapid and insightful approach to Influenza virus analysis.&lt;/p&gt;</video:description>
            <video:publication_date>2025-09-16T11:42:42+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5080</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/116298240/qiagen-ingenuity-pathway-analysis-19</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=116298240</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/116298240/aed656db96bb5f9e6b34583fe703ab56/video_medium/qiagen-ingenuity-pathway-analysis-19-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/116298240/aed656db96bb5f9e6b34583fe703ab56/small/qiagen-ingenuity-pathway-analysis-19-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Ingenuity Pathway Analysis (IPA) for grant writing and publications</video:title>
            <video:description>&lt;p&gt;IPA is more than just an analysis program; it can also help you write grants and publications. IPA provides biological insights backed by expert-curated findings and thousands of pre-analyzed multi-omics datasets. You can search for existing knowledge on molecules of interest, build networks and review results from public studies. Or you can identify key pathways, regulatory molecules and functional changes in your results and see how your data relates to published studies.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;You'll learn how to:&lt;/p&gt;&lt;p&gt;• Search IPA’s vast collection of curated literature and omics data&lt;/p&gt;&lt;p&gt;• Build your own networks and predict activity changes&lt;/p&gt;&lt;p&gt;• Effectively use new features such as IPA Interpret for collaboration and hypothesis generation&lt;/p&gt;&lt;p&gt;• Explore a library of over 100,000 precomputed IPA analyses pulled from publicly available studies&lt;/p&gt;&lt;p&gt;• Deeply interrogate critical pathways&lt;/p&gt;&lt;p&gt;• Predict regulators causing your observed expression changes&lt;/p&gt;&lt;p&gt;• Contextualize your results by comparing them to internal and public data&lt;/p&gt;&lt;p&gt;• Generate the necessary tables and figures for your manuscript&lt;/p&gt;</video:description>
            <video:publication_date>2025-09-15T11:06:33+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5522</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/116108098/gene-fusion-detection-using-qiagen</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=116108098</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/116108098/ebd9e49765d920d9ca16ab86208d558c/video_medium/gene-fusion-detection-using-qiagen-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/116108098/ebd9e49765d920d9ca16ab86208d558c/small/gene-fusion-detection-using-qiagen-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Gene Fusion Detection Using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;This webinar will focus on running the fusion detection analysis within QIAGEN CLC Genomics Workbench and annotating the detected fusions using curated clinical knowledge from Human Somatic Mutation Database (HSMD). Finally, the data will be uploaded to QIAGEN Clinical Insight (QCI) applications for further analysis.&lt;/p&gt;&lt;p&gt;You will learn:&lt;/p&gt;&lt;p&gt;• How fusion detection algorithms work&lt;/p&gt;&lt;p&gt;• To run the fusion detection template workflow&lt;/p&gt;&lt;p&gt;• To interpret the analysis results&lt;/p&gt;&lt;p&gt;• To annotate fusions with HSMD&lt;/p&gt;&lt;p&gt;• To upload and analyze the fusions with QCI Interpret&lt;/p&gt;</video:description>
            <video:publication_date>2025-09-12T09:41:02+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2987</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115661871/ipa-deeper-dive-mirna</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115661871</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/115661871/b92ce6f88d07653137125fef8d6a1368/video_medium/ipa-deeper-dive-mirna-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/115661871/b92ce6f88d07653137125fef8d6a1368/small/ipa-deeper-dive-mirna-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA deeper dive - miRNA investigation using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;In this webinar, you will learn how to use QIAGEN Ingenuity Pathway Analysis to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.&lt;/p&gt;&lt;p&gt;Explore:&lt;/p&gt;&lt;p&gt;• How to analyze miRNA-seq datasets alone or together with the corresponding mRNA datasets&lt;/p&gt;&lt;p&gt;• How to use QIAGEN IPA without a dataset, using miRNA IDs&lt;/p&gt;&lt;p&gt;• An introduction to databases and curated content specific to miRNA&lt;/p&gt;&lt;p&gt;• How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-29T09:57:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5437</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115659748/hpv-integration-site-mapping-using</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115659748</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/115659748/63fc79bbd5edc4f5efd211648ab28c98/video_medium/hpv-integration-site-mapping-using-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/115659748/63fc79bbd5edc4f5efd211648ab28c98/small/hpv-integration-site-mapping-using-thumbnail.jpg</video:thumbnail_loc>
            <video:title>HPV integration site mapping using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Join us for an in-depth walkthrough of HPV integration site mapping using the CLC Microbial Genomics Module. This webinar presents a rapid, automated workflow for identifying and visualizing viral integration sites (VIS) in the human genome, using data from HPV-positive cervical samples. By leveraging the Viral Hybrid Capture (VHC) and VIS Identification workflows, researchers can perform end-to-end analysis—from taxonomic profiling to pinpointing virus-host breakpoints. Learn how this streamlined pipeline enables high-resolution visualization, accurate integration mapping, and efficient reporting to advance our understanding of HPV-driven carcinogenesis.&lt;/p&gt;&lt;p&gt;Key Takeaways:&lt;/p&gt;&lt;p&gt;• End-to-End Automation: Explore how the CLC Genomics Workbench streamlines HPV integration analysis using the VHC and VIS workflows.&lt;/p&gt;&lt;p&gt;• Rapid Analysis: Achieve full sample processing in under 25 minutes with minimal manual input.&lt;/p&gt;&lt;p&gt;• Integrated Visualization Tools: Leverage auto-generated circular plots and genomic breakpoints for clear interpretation of virus-host interactions.&lt;/p&gt;&lt;p&gt;• Reference-Driven Accuracy: Built-in HPV and human genome references enhance precision and reduce runtime.&lt;/p&gt;&lt;p&gt;• Clinical Impact: Identify disrupted and neighboring host genes that may serve as biomarkers or therapeutic targets.&lt;/p&gt;&lt;p&gt;• Accessible &amp;amp; Scalable: Designed for non-programmers, the GUI-based platform supports diverse sample types and study sizes.&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-29T08:30:04+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5292</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115550564/public-single-cell-expression-data-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115550564</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/115550564/8654e1f2528b6fef496843c797401f37/video_medium/public-single-cell-expression-data-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/115550564/8654e1f2528b6fef496843c797401f37/small/public-single-cell-expression-data-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Public single-cell expression data made easy with QIAGEN IPA</video:title>
            <video:description>&lt;p&gt;Many QIAGEN Ingenuity Pathway Analysis (IPA) users have expressed strong interest in taking advantage of public single-cell expression data. Such data is readily available and easily accessible in IPA. We are hosting a 1hr training focused on some common use cases related to this topic.&lt;/p&gt;&lt;p&gt;You'll learn to:&lt;/p&gt;&lt;p&gt;• Easily locate single-cell studies, samples or cell types of interest&lt;/p&gt;&lt;p&gt;• Study pathways and networks pertaining to such projects to explore biological and cellular mechanisms&lt;/p&gt;&lt;p&gt;• Investigate sample- and cell-level gene expression for biomarker investigation&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-25T15:57:33+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4209</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115459797/how-to-triage-drug-targets-with-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115459797</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/115459797/c1f9a917c72bcedc269dd5ba3d9b609f/video_medium/how-to-triage-drug-targets-with-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/115459797/c1f9a917c72bcedc269dd5ba3d9b609f/small/how-to-triage-drug-targets-with-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to triage drug targets with curated, causal relationships data</video:title>
            <video:description>&lt;p&gt;In the rapidly evolving landscape of drug discovery, the ability to integrate high-quality research findings into knowledge graphs is paramount. For over twenty years, our scientists have curated the relationships between genes, drugs, diseases, and pathways to power Ingenuity Pathway Analysis. Now, these data are available via our QIAGEN Biomedical KB-HD, which provides direct access to flat files, SQL APIs in Python and R, and the ability to export knowledge graph objects for analysis in Neo4j. &lt;/p&gt;&lt;p&gt;In this talk, we will explore how to use this rich data resource to:&lt;/p&gt;&lt;p&gt;• Aggregate relevant findings across our comprehensive disease and gene ontologies&lt;/p&gt;&lt;p&gt;• Cross-reference clinical trial results to focus your research on genes upstream or downstream of known drug targets&lt;/p&gt;&lt;p&gt;• Filter causal relationships by the directionality of observed effects&lt;/p&gt;&lt;p&gt;• Combine the above methods to accelerate the drug discovery process&lt;/p&gt;&lt;p&gt;By demonstrating the underlying database live, we will show how the high-quality curated biomedical knowledge bases can be rapidly deployed, as well as how the underlying schema and ontologies could serve as a scaffold for integrating your own research. Overall, this demonstration will show the critical role of knowledge graphs in finding viable drug targets while avoiding potential adverse outcomes and toxicity.&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-20T21:58:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3594</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>bkb</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115454021/shared-pathways-many-origins-how</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115454021</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/115454021/1af6168367c64283a8f2f6260ec4dbfa/video_medium/shared-pathways-many-origins-how-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/115454021/1af6168367c64283a8f2f6260ec4dbfa/small/shared-pathways-many-origins-how-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Shared Pathways, Many Origins: How Diverse Genetic Risk Targets Share Developmental Networks in Autism Spectrum Disorder</video:title>
            <video:description>&lt;p&gt;Over two decades of research have uncovered over 100 genes with rare mutations linked to autism spectrum disorder (ASD), yet transcriptomic and epigenetic analyses reveal convergent dysregulation patterns in ASD brain tissue. In this webinar, learn how Dr. Dan Geschwind and his team at UCLA combine bioinformatics and experimental approaches to show that both common and rare genetic variations converge during early fetal cortical development. Using the largest hiPSC patient cohort and cortical organoid models, they identified shared transcriptional changes and created a resource of isogenic lines with over 100 ASD-associated mutations. Their integrative, network-based approach aims to clarify how genetic risk influences neurodevelopment through transcriptional regulation.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Speaker: Dan Geschwind, MD, PhD&lt;/p&gt;&lt;p&gt;Gordon and Virginia MacDonald Distinguished Professor of Neurology, Psychiatry and Human Genetics&lt;/p&gt;&lt;p&gt;Senior Associate Dean and Associate Vice Chancellor of Precision Health, Institute for Precision Health (IPH)&lt;/p&gt;&lt;p&gt;University of California Los Angeles (UCLA)&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-20T15:33:13+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3505</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115439471/the-forefront-of-genomics-eric</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115439471</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/115439471/8292a07029f43ac36b3931b68abd54a2/video_medium/the-forefront-of-genomics-eric-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/115439471/8292a07029f43ac36b3931b68abd54a2/small/the-forefront-of-genomics-eric-thumbnail.jpg</video:thumbnail_loc>
            <video:title>The Forefront of Genomics Eric Green on Making Genomic Medicine a Reality</video:title>
            <video:description>&lt;p&gt;Since the completion of the Human Genome Project over two decades ago, genomics has become progressively entrenched within the bedrock of the biomedical research enterprise. Capitalizing on the momentum of the project’s successful completion, the field of genomics has increasingly expanded and matured, such that genomics is now central and catalytic in basic and translational research, and studies now regularly demonstrate the vital role that genomic information can play in clinical care.&lt;/p&gt;&lt;p&gt;Looking ahead, the anticipated advances in technologies, biological insights, and clinical applications (among others) will lead to more widespread dissemination of genomics throughout biomedical research, a growing adoption of genomics into medical and public-health practices, and an increasing relevance of genomics in everyday life.&lt;/p&gt;&lt;p&gt;In this webinar,&amp;nbsp;&lt;strong&gt;Eric Green, former director of the National Human Genome Research Institute at NIH&lt;/strong&gt;, will discuss how the institute capitalizes on these opportunities by developing and leading initiatives that address the most pressing challenges at the forefront of genomics, with a particular emphasis on understanding the biological complexities of the human genome, on untangling the complex roles that genomic variants play in health and disease, and making genomics broadly and equitably integrated into medicine.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Speaker: E&lt;strong&gt;ric Green, MD, PhD&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Former Director, National Human Genome Research Institute, National Institutes of Health&lt;/p&gt;&lt;p&gt;Eric Green is the former director of the National Human Genome Research Institute (NHGRI) at the National Institutes of Health (NIH). He was the third NHGRI director, having been appointed by NIH director Francis Collins in 2009.&lt;/p&gt;&lt;p&gt;Green was at NHGRI for more than 30 years, during which he held multiple key leadership roles prior to becoming the director. He served as the Institute’s scientific director for seven years, chief of the Genome Technology Branch for 13 years, and founding director of the NIH Intramural Sequencing Center for 12 years.&lt;/p&gt;&lt;p&gt;For just over two decades, Green directed an independent research program that included integral start-to-finish roles in the Human Genome Project and groundbreaking work on mapping, sequencing, and characterizing mammalian genomes.&lt;/p&gt;&lt;p&gt;Green earned his medical degree and doctorate in 1987 from Washington University in St. Louis — coincidentally, the word “genomics” was coined in that same year. Throughout his career, he has authored and co-authored more than 395 scientific publications. Green has earned multiple honors and awards, including election to the National Academy of Medicine in 2023.&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-20T11:16:38+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3479</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115391363/summer-2025-ipa-interpret-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115391363</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/115391363/b6271ecbe45397c5e3363560e2da951f/video_medium/summer-2025-ipa-interpret-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/115391363/b6271ecbe45397c5e3363560e2da951f/small/summer-2025-ipa-interpret-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Summer 2025 IPA Interpret and OmicSoft Explorer Enhancements</video:title>
            <video:description>&lt;p&gt;Join us to review exciting new features in IPA Interpret and OmicSoft Explorer.&lt;/p&gt;&lt;p&gt;We will walk though the latest enhancements in IPA Interpret like:&lt;/p&gt;&lt;p&gt;• Bubble charts for various analysis results&lt;/p&gt;&lt;p&gt;• Customizing charts&lt;/p&gt;&lt;p&gt;• More context for Graphical Summary results&lt;/p&gt;&lt;p&gt;• Explore matching and anti-matching datasets easily with more details&lt;/p&gt;&lt;p&gt;We will also walk through how to explore gene signatures in OmicSoft Explorer. You can readily find other experiments that match or anti-match your prescribed list of genes and expression patterns.&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-18T22:15:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5635</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115391339/biomarkers-and-drug-target-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115391339</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/115391339/3bf8980d96b9a1298b47d6dc69e0ec13/video_medium/biomarkers-and-drug-target-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/115391339/3bf8980d96b9a1298b47d6dc69e0ec13/small/biomarkers-and-drug-target-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Biomarkers and drug target investigation using manually curated, unified ‘omics data</video:title>
            <video:description>&lt;p&gt;There is an almost incomprehensible amount of diverse, non-standardized ‘omics data deposited in different public sources such as GEO, SRA, TCGA, GTEx and others. Scientists who are interested in biomarker discovery and investigation using such data run into the challenge of finding time and resources to locate studies of their interest and then making it usable by cleaning and standardizing these data. Accordingly, this training is focused on how scientists facing the above challenges can use OmicSoft Lands which has manually curated, unified data which is flexibly accessed through both a web-based portal and APIs.&lt;/p&gt;&lt;p&gt;• Easily and effectively locate RNA and protein expression data of interest (specific diseases, drug treatments, tissues etc.) using the web-based portal as well as OmicSoft Lands APIs&lt;/p&gt;&lt;p&gt;• Conveniently generate charts comparing expression across different conditions of user interest (example disease vs normal, treated vs untreated, responders vs non responders and more)&lt;/p&gt;&lt;p&gt;• Export results in both tabular and graphical formats&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-18T22:12:00+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4920</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115170142/qiagen-ipa-new-user-training-9</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115170142</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/115170142/bdd5336ef5e6406bafa1c102dd2543d2/video_medium/qiagen-ipa-new-user-training-9-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/115170142/bdd5336ef5e6406bafa1c102dd2543d2/small/qiagen-ipa-new-user-training-9-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA new user training</video:title>
            <video:description>&lt;p&gt;Are you new to QIAGEN Ingenuity Pathway Analysis (IPA) or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA.&lt;/p&gt;&lt;p&gt;You’ll learn to:&lt;/p&gt;&lt;p&gt;• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA&lt;/p&gt;&lt;p&gt;• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more&lt;/p&gt;&lt;p&gt;• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts&lt;/p&gt;&lt;p&gt;• Generate a network for hypothesis generation, even without a dataset or experimental design&lt;/p&gt;&lt;p&gt;Already have an IPA license? Install IPA and start using it now:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI"&gt;https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Learn more about IPA or request a free trial: &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/ipa"&gt;https://digitalinsights.qiagen.com/ipa&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-12T16:20:06+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6896</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115166703/ipa-deeper-dive-making-the-most</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115166703</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/115166703/dd67d83b678a8e860023555f71207b7a/video_medium/ipa-deeper-dive-making-the-most-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/115166703/dd67d83b678a8e860023555f71207b7a/small/ipa-deeper-dive-making-the-most-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA deeper dive - Making the most out of core expression analysis</video:title>
            <video:description>&lt;p&gt;A core/expression analysis is performed for RNA-seq, scRNA-seq, proteomics and many other types of ‘omics data. Driven by high demand from new user training sessions, we will dive into the details around a core analysis and its results.&lt;/p&gt;&lt;p&gt;Answer questions such as:&lt;/p&gt;&lt;p&gt;• What are the different result types produced by an IPA core analysis?&lt;/p&gt;&lt;p&gt;• How can we identify key regulators and relevant regulatory networks?&lt;/p&gt;&lt;p&gt;• What are the biomarkers and genes associated with diseases and biological processes of interest?&lt;/p&gt;&lt;p&gt;• Can IPA help generate novel directional (regulator effects) and non-directional (interaction) networks from a user’s dataset?&lt;/p&gt;&lt;p&gt;Come with your questions, and we'll address them during the webinar.&lt;/p&gt;&lt;p&gt;If you haven’t done a core/expression analysis in IPA before, we recommend you review the slides below before (or after) this training. It’s not a requirement, but it will help.&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.showpad.com/share/SQjinvdxIs1iGhL8H3eOd"&gt;https://qiagen.showpad.com/share/SQjinvdxIs1iGhL8H3eOd&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Slide#4 = how to download the example dataset&lt;/p&gt;&lt;p&gt;Slide#20 -25 = review recommended dataset formats&lt;/p&gt;&lt;p&gt;Slide#53 onwards = step-by-step how to upload the dataset and perform analysis&lt;/p&gt;&lt;p&gt;o Install IPA: &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.showpad.com/share/A0mV7EWcejBtXPJUesbXd"&gt;https://qiagen.showpad.com/share/A0mV7EWcejBtXPJUesbXd&lt;/a&gt;&lt;/p&gt;&lt;p&gt;o IPA beginner training recording:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.showpad.com/share/Dcdg28jxw0D2uRpgRqFK4"&gt;https://qiagen.showpad.com/share/Dcdg28jxw0D2uRpgRqFK4&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-12T15:16:59+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5545</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115154192/accelerating-biomarker-signature</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115154192</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/115154192/28d414c2f8783938633232bbfa0ed8a5/video_medium/accelerating-biomarker-signature-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/115154192/28d414c2f8783938633232bbfa0ed8a5/small/accelerating-biomarker-signature-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Accelerating biomarker signature discovery for rare diseases using curated real-world data and causal analytics</video:title>
            <video:description>&lt;p&gt;Identifying molecular signatures for rare diseases is challenging, mainly due to limited sample sizes and heterogenous data. Researchers must often piece together fragmented evidence to uncover shared biological mechanisms. Though inescapable, this process can be more efficient.&lt;/p&gt;&lt;p&gt;See how QIAGEN OmicSoft Lands and Ingenuity Pathway Analysis (IPA) streamlines biomarker signature discovery using curated real-world datasets and powerful causal analytics. With automation powered by SQL, Python and R APIs, OmicSoft and IPA enable scalable, reproducible analyses across multiple disease contexts, accelerating the path from data to discovery.&lt;/p&gt;&lt;p&gt;You will learn how to:&lt;/p&gt;&lt;p&gt;• Explore and query neurodegenerative disease datasets in QIAGEN OmicSoft Lands using SQL and Python&lt;/p&gt;&lt;p&gt;• Automate pathway and regulator analysis in IPA using Python and R APIs&lt;/p&gt;&lt;p&gt;• Scale and produce analyses across multiple cohorts&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-12T10:41:02+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3250</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115152885/rna-seq-data-analysis-using-qiagen-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115152885</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/115152885/19c618ac29c1f5fbc7fd17e2cf95209d/video_medium/rna-seq-data-analysis-using-qiagen-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/115152885/19c618ac29c1f5fbc7fd17e2cf95209d/small/rna-seq-data-analysis-using-qiagen-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>RNA-seq data analysis using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;For your RNA-seq data, you will learn how to:&lt;/p&gt;&lt;p&gt;• Import FASTQ files, cell matrix files and metadata&lt;/p&gt;&lt;p&gt;• Download and/or import reference and annotations files&lt;/p&gt;&lt;p&gt;• Map reads to a reference genome&lt;/p&gt;&lt;p&gt;• Generate gene and transcript counts&lt;/p&gt;&lt;p&gt;• QC reports displaying % mapped reads etc.&lt;/p&gt;&lt;p&gt;• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, Sankey plot and more&lt;/p&gt;&lt;p&gt;• Easily customize RNA-seq workflows&lt;/p&gt;&lt;p&gt;• Export publication-quality graphics, tables and reports&lt;/p&gt;&lt;p&gt;Per audience request&lt;/p&gt;&lt;p&gt;• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-12T10:04:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5552</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics workbench</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115118611/ipa-interpret-bar-charts</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115118611</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/115118611/3a81d2718f0d023cfe2bace4999e70ba/video_medium/ipa-interpret-bar-charts-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/115118611/3a81d2718f0d023cfe2bace4999e70ba/small/ipa-interpret-bar-charts-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Interpret bar charts</video:title>
            <video:description>&lt;p&gt;IPA Interpret now offers extensive customization of bar charts when exporting them as images. You can easily change the bar spacing, thickness and color, fonts and more. After you have filtered out non-relevant bars from your chart (if desired), click the export button and choose “Custom styling before download” from the menu that appears.&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-11T11:29:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>128</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115118565/ipa-interpret-graphical-summary</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115118565</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/115118565/4cfe049c369367bca62e0a775340cf46/video_medium/ipa-interpret-graphical-summary-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/115118565/4cfe049c369367bca62e0a775340cf46/small/ipa-interpret-graphical-summary-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Interpret graphical summary</video:title>
            <video:description>&lt;p&gt;The Graphical Summary in IPA Interpret has been made more informative and easier to interpret. In Upstream Regulators, you can easily see the dataset details for genes in the summary. A tooltip now provides information about the Upstream Regulator’s score from your analysis and expression details (if the gene is in your dataset). This way, you can evaluate the expression of the underlying gene and view its prediction as a regulator at the same time.&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-11T11:29:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>79</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115118511/ipa-interpret-bubble-charts</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115118511</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/115118511/a90e6fefad974c7e9f51a6468f1bd189/video_medium/ipa-interpret-bubble-charts-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/115118511/a90e6fefad974c7e9f51a6468f1bd189/small/ipa-interpret-bubble-charts-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Interpret bubble charts</video:title>
            <video:description>&lt;p&gt;New in IPA Interpret, bubble charts can help you find interesting patterns in your results, focus on the most important predictions and create compelling visualizations for presentation and publications.&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-11T11:27:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>125</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/115016868/adding-users-to-your-qdi-license</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=115016868</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/115016868/2a47a0554cb55c3e28008f555af6a536/video_medium/adding-users-to-your-qdi-license-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/115016868/2a47a0554cb55c3e28008f555af6a536/small/adding-users-to-your-qdi-license-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Adding users to your QDI license</video:title>
            <video:description>&lt;p&gt;Learn how to add users to your QIAGEN Digital Insights (QDI) license through the QDI Admin Tool (QDIAT).&lt;/p&gt;</video:description>
            <video:publication_date>2025-08-06T19:55:24+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>214</video:duration>
            <video:category>Tutorials</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114553146/gene-therapy-applications-through-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114553146</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/114553146/8f3fb8c73c80a7689fb2f440afbe3391/video_medium/gene-therapy-applications-through-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/114553146/8f3fb8c73c80a7689fb2f440afbe3391/small/gene-therapy-applications-through-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Gene therapy applications through knowledge graph explorations</video:title>
            <video:description>&lt;p&gt;The gene therapy space continues to grow with the discovery of new gene editing targets. Meanwhile, new indications are being identified for known targets by exploring vector biology and the biological mechanisms underlying disease pathology.&lt;/p&gt;&lt;p&gt;In this webinar, we will show how Biomedical KB-AI accelerates target discovery and indication expansion using generative AI. Biomedical KB-AI provides a more comprehensive view of the biological landscape, enabling the identification of novel relationships and patterns that may be missed by traditional methods.&lt;/p&gt;&lt;p&gt;You will learn:&lt;/p&gt;&lt;p&gt;• About Biomedical KB-AI and its structure&lt;/p&gt;&lt;p&gt;• How to easily search and filter results for the vector system of interest through a subgraph&lt;/p&gt;&lt;p&gt;• How to thoroughly interrogate the subgraph to look for similarity between diseases and targets that can be targeted by vectors of interest&lt;/p&gt;&lt;p&gt;• How to effectively use a knowledge graph for drug repurposing applications&lt;/p&gt;</video:description>
            <video:publication_date>2025-07-18T14:13:30+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3072</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114395272/beginner-friendly-creating-sql</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114395272</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/114395272/6cc0ea202439cc01ef8c0dabbb7147b7/video_medium/beginner-friendly-creating-sql-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/114395272/6cc0ea202439cc01ef8c0dabbb7147b7/small/beginner-friendly-creating-sql-thumbnail.jpg</video:thumbnail_loc>
            <video:title>[Beginner-friendly] Creating SQL Queries for Biomedical Research</video:title>
            <video:description>&lt;p&gt;As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. Through this training, we will equip you with the know-how and best practices around designing SQL queries – no prior SQL experience required. And while we will use QIAGEN biomedical databases, the knowledge you acquire can be easily applied to other databases.&lt;/p&gt;&lt;p&gt;Topics will include:&lt;/p&gt;&lt;p&gt;• Some basics of SQL&lt;/p&gt;&lt;p&gt;• A brief introduction to databases being used&lt;/p&gt;&lt;p&gt;• How to generate queries that can help you answer scientific questions (related to disease pathology, MOA, drug response, gene signatures and more)&lt;/p&gt;&lt;p&gt;• Some applications and frequently asked questions&lt;/p&gt;&lt;p&gt;• Resources&lt;/p&gt;&lt;p&gt;Come with your questions, and we’ll address them after the 1-hour training.&lt;/p&gt;</video:description>
            <video:publication_date>2025-07-14T11:50:22+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3527</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomedical knowledge base</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114342470/upload-differential-expression-file</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114342470</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/114342470/1c906a37e0731ce94d879e928983229d/video_medium/upload-differential-expression-file-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/114342470/1c906a37e0731ce94d879e928983229d/small/upload-differential-expression-file-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Upload differential expression file from single cell data to QIAGEN IPA</video:title>
            <video:description>&lt;p&gt;In this video, we will review how to export data from CELLxGENE and similar single cell portals to analyze in QIAGEN IPA for deeper biological insights.&lt;/p&gt;</video:description>
            <video:publication_date>2025-07-10T11:36:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>338</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114299577/ipa-causal-scoring</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114299577</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/114299577/d0f5fa81a73c54e59eace70c736e5463/video_medium/ipa-causal-scoring-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/114299577/d0f5fa81a73c54e59eace70c736e5463/small/ipa-causal-scoring-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA causal scoring</video:title>
            <video:description>&lt;p&gt;In the IPA desktop app, you can rapidly interrogate any pathway or network to discover relevant entities that may causally impact (or are impacted by) molecules on the pathway or network. This enables you to explore and generate hypotheses much faster than ever before in IPA. For example, you could discover upstream chemical inhibitors of a pathway of interest, find pathways that are likely inhibited by the activation of another, or explore how upstream drivers can lead to downstream outcomes.&lt;/p&gt;</video:description>
            <video:publication_date>2025-07-08T15:54:16+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>118</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114222703/share-ipa-interpret-analyses</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114222703</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/114222703/086b4babb47328f5542fb0e19cd5135b/video_medium/share-ipa-interpret-analyses-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/114222703/086b4babb47328f5542fb0e19cd5135b/small/share-ipa-interpret-analyses-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Share IPA Interpret Analyses</video:title>
            <video:description>&lt;p&gt;IPA Interpret identifies and summarizes the biological themes in your results with the help of AI, creating a shareable, interactive report.&lt;/p&gt;&lt;p&gt;In this video, we’ll walk you through how to share analyses created in IPA Interpret.&lt;/p&gt;&lt;p&gt;Want to learn more? Visit us at &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/"&gt;https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-07-03T13:57:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>109</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114062343/s2i-oncology</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114062343</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/114062343/b2f114c7c15ddfe0a307545576e39d4c/video_medium/s2i-oncology-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/114062343/b2f114c7c15ddfe0a307545576e39d4c/small/s2i-oncology-thumbnail.jpg</video:thumbnail_loc>
            <video:title>S2I oncology</video:title>
            <video:description>&lt;p&gt;S2I oncology&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-27T17:00:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>63</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114024056/multi-omics-metabolomics-proteomics-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114024056</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/114024056/07cc452526f4badea23f3b9e8231084b/video_medium/multi-omics-metabolomics-proteomics-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/114024056/07cc452526f4badea23f3b9e8231084b/small/multi-omics-metabolomics-proteomics-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis </video:title>
            <video:description>&lt;p&gt;This 90-minute training session is about how QIAGEN Ingenuity Pathway Analysis (IPA) allows visualization of molecular intricacy and variations at multiple levels such as transcriptome, proteome, and metabolome. Through a series of brief technical vignettes, it is demonstrated how to:&lt;/p&gt;&lt;p&gt;· Generate associations among molecular signatures obtained via integrating multi-omics data&lt;/p&gt;&lt;p&gt;· Extract mechanisms from multi-omics data for precision medicine&lt;/p&gt;&lt;p&gt;· Disease stratification based on multi-omics profiles&lt;/p&gt;&lt;p&gt;· Map disease networks among targets and indications&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-27T05:25:43+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5819</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114020986/chip-seq-histone-seq-and-methyl-seq</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114020986</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/114020986/bb27fe14edf576119c4befd8135e1caa/video_medium/chip-seq-histone-seq-and-methyl-seq-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/114020986/bb27fe14edf576119c4befd8135e1caa/small/chip-seq-histone-seq-and-methyl-seq-thumbnail.jpg</video:thumbnail_loc>
            <video:title>ChIP-seq, Histone-seq and Methyl-seq analysis using CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;This training will focus on how a user can analyze their epigenomics data using QIAGEN CLC Genomics Workbench.&lt;/p&gt;&lt;p&gt;Specifically, the trainer will cover how to&lt;/p&gt;&lt;p&gt;• Import the raw sequencing data&lt;/p&gt;&lt;p&gt;• Download or import reference, metadata and other needed files&lt;/p&gt;&lt;p&gt;• Mapping reads to a reference genome&lt;/p&gt;&lt;p&gt;• Calling and visualizing peaks&lt;/p&gt;&lt;p&gt;• Export graphical and tabular results&lt;/p&gt;&lt;p&gt;In addition, per registrant feedback and the trainer discretion additional topics such as customizing the workflow, how to send data to Ingenuity Pathway Analysis and more may be covered.&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-26T20:16:28+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5417</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/114020535/from-variants-to-vision-driving</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=114020535</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/114020535/25ab3a8abb97e3cbe526519f652d9d48/video_medium/from-variants-to-vision-driving-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/114020535/25ab3a8abb97e3cbe526519f652d9d48/small/from-variants-to-vision-driving-thumbnail.jpg</video:thumbnail_loc>
            <video:title>From Variants to Vision: Driving Oncology Breakthroughs in Translational Research</video:title>
            <video:description>&lt;p&gt;Aptly called "bench-to-bedside", translational research involves developing and testing new techniques and therapies for better disease management and patient care. This field plays a pivotal role in ensuring that discoveries realize their potential for real-world impact instead of staying confined to the lab.&lt;/p&gt;&lt;p&gt;Join us in exploring how two tools can accelerate translational cancer research. Human Somatic Mutation Database (HSMD) Professional is an expert-curated somatic knowledgebase that incorporates real-world cancer patient data, while QCI Interpret Translational (QCI-IT) is a variant annotation and interpretation tool that provides automated ACMG/AMP classification, phenotype-specific insights and more.&lt;/p&gt;&lt;p&gt;You’ll learn how:&lt;/p&gt;&lt;p&gt;• HSMD, which includes data from over 870K real-world oncology cases, provides easily accessible and reliable data for the identification of clinically significant and actionable mutations&lt;/p&gt;&lt;p&gt;• QCI-IT can process uploaded variant data to prioritize impacting symptoms, pathways and genes implicated in drug response or disease progression&lt;/p&gt;&lt;p&gt;• HSMD and QCI-IT can be used in tandem to efficiently transition from exploratory insights to actionable decisions&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-26T19:39:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3345</video:duration>
            <video:category>QCI I Translational</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113782979/uncover-molecular-drivers-of-the</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113782979</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/113782979/452e326b83812fe08cf91a264ef3c8e1/video_medium/uncover-molecular-drivers-of-the-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/113782979/452e326b83812fe08cf91a264ef3c8e1/small/uncover-molecular-drivers-of-the-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Uncover molecular drivers of the tumor microenvironment using curated data and predictive modeling</video:title>
            <video:description>&lt;p&gt;Understanding the tumor microenvironment (TME) presents a major challenge for biopharma researchers and translational scientists. The complexity of cellular interactions, variability across patient samples, and overwhelming volume of public omics data can make it difficult to pinpoint key molecular drivers and predict functional consequences. Building a clear, actionable view of the TME often feels like assembling a puzzle without the picture on the box.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;In this webinar, discover how QIAGEN Ingenuity Pathway Analysis (IPA) can help overcome these challenges by combining expertly curated biological knowledge with powerful predictive modeling tools. Learn how to easily construct molecular networks, interpret gene expression data from resources like TCGA and GEO, and model upstream regulators to predict immune and tumor behavior. Using examples such as IL1B’s role in non-small cell lung cancer (NSCLC), we’ll show you how IPA can accelerate your discoveries and guide therapeutic insights.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;What you’ll learn:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;How to identify disease-associated molecules and visualize their biological interactions&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How to mine and interpret public gene expression data for deeper insights into cancer biology&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How to model upstream regulators and predict functional outcomes within the TME&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-06-18T14:45:35+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3303</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113782642/de-novo-assembly-blast-and-genome-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113782642</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/113782642/cf13d497a9767897484ef79a18ab8f51/video_medium/de-novo-assembly-blast-and-genome-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/113782642/cf13d497a9767897484ef79a18ab8f51/small/de-novo-assembly-blast-and-genome-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>De novo assembly, BLAST and genome finishing using CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;This webinar will introduce users to the tools available for short reads (Illumina) as well as long reads (Oxford Nanopore, Pac Bio) de novo assembly in CLC Genomics Workbench. It will also go over other useful functionalities such as BLAST and genome finishing.&lt;/p&gt;&lt;p&gt;Participants will learn the following:&lt;/p&gt;&lt;p&gt;o Download and install needed plugins.&lt;/p&gt;&lt;p&gt;o Import data required for the analysis.&lt;/p&gt;&lt;p&gt;o Run the de novo assembly workflow.&lt;/p&gt;&lt;p&gt;o For long reads, improve a de novo assembly by polishing with short, high-quality reads.&lt;/p&gt;&lt;p&gt;o Map reads to a reference and visualize an assembly.&lt;/p&gt;&lt;p&gt;o For long reads, correct raw long reads for further analysis.&lt;/p&gt;&lt;p&gt;o Use BLAST to investigate the contigs.&lt;/p&gt;&lt;p&gt;o Analyze and assemble contigs through Genome Finishing tools.&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-18T14:35:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5243</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113694674/qiagen-ipa-summer-camp-day-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113694674</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/113694674/bb01c0404cba66671d02a033721ce27e/video_medium/qiagen-ipa-summer-camp-day-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/113694674/bb01c0404cba66671d02a033721ce27e/small/qiagen-ipa-summer-camp-day-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA Summer Camp - Day 3</video:title>
            <video:description>&lt;p&gt;Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).&lt;/p&gt;&lt;p&gt;In this training, you’ll learn how to:&lt;/p&gt;&lt;p&gt;Monday June 9 – Session#1: 1pm ET/10am PT • IPA general overview • Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) • Set up core/pathway analysis in IPA&lt;/p&gt;&lt;p&gt;Tuesday June 10 – Session#2: 1pm ET/10am PT • Understand the different result types produced (pathways, key regulators, and more) • Customize chart outputs using filters and different chart types like a volcano plot like bubble chart&lt;/p&gt;&lt;p&gt;Wednesday June 11 – Session#3: 1pm ET/10am PT • Compare different experimental conditions (different ‘omics data, treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts • Generate a network even without a dataset or experimental design for hypothesis generation&lt;/p&gt;&lt;p&gt;If you are able to attend, then we will have additional scientists on the call for Q&amp;amp;A. If you are unable to attend, registering will still allow you to view the recordings.&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-13T12:48:34+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4004</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113692543/qiagen-ipa-summer-camp-day-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113692543</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/113692543/8edaf23913208b7670578c71ba6fb778/video_medium/qiagen-ipa-summer-camp-day-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/113692543/8edaf23913208b7670578c71ba6fb778/small/qiagen-ipa-summer-camp-day-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA Summer Camp - Day 2</video:title>
            <video:description>&lt;p&gt;Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).&lt;/p&gt;&lt;p&gt;In this training, you’ll learn how to:&lt;/p&gt;&lt;p&gt;Monday June 9 – Session#1: 1pm ET/10am PT • IPA general overview • Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) • Set up core/pathway analysis in IPA&lt;/p&gt;&lt;p&gt;Tuesday June 10 – Session#2: 1pm ET/10am PT • Understand the different result types produced (pathways, key regulators, and more) • Customize chart outputs using filters and different chart types like a volcano plot like bubble chart&lt;/p&gt;&lt;p&gt;Wednesday June 11 – Session#3: 1pm ET/10am PT • Compare different experimental conditions (different ‘omics data, treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts • Generate a network even without a dataset or experimental design for hypothesis generation&lt;/p&gt;&lt;p&gt;If you are able to attend, then we will have additional scientists on the call for Q&amp;amp;A. If you are unable to attend, registering will still allow you to view the recordings.&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-13T11:18:47+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3567</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113648388/qiagen-ipa-summer-camp-day-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113648388</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/113648388/d648ac0273cfe350a3653261215b199c/video_medium/qiagen-ipa-summer-camp-day-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/113648388/d648ac0273cfe350a3653261215b199c/small/qiagen-ipa-summer-camp-day-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA Summer Camp - Day 1</video:title>
            <video:description>&lt;p&gt;Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).&lt;/p&gt;&lt;p&gt;In this training, you’ll learn how to:&lt;/p&gt;&lt;p&gt;Monday June 9 – Session#1: 1pm ET/10am PT • IPA general overview • Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) • Set up core/pathway analysis in IPA&lt;/p&gt;&lt;p&gt;Tuesday June 10 – Session#2: 1pm ET/10am PT • Understand the different result types produced (pathways, key regulators, and more) • Customize chart outputs using filters and different chart types like a volcano plot like bubble chart&lt;/p&gt;&lt;p&gt;Wednesday June 11 – Session#3: 1pm ET/10am PT • Compare different experimental conditions (different ‘omics data, treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts • Generate a network even without a dataset or experimental design for hypothesis generation&lt;/p&gt;&lt;p&gt;If you are able to attend, then we will have additional scientists on the call for Q&amp;amp;A. If you are unable to attend, registering will still allow you to view the recordings.&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-11T14:07:22+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3796</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113598093/checkpoint-inhibitor-and-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113598093</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/113598093/5fdc5996ae4ccb5aa2001f1816cb90a1/video_medium/checkpoint-inhibitor-and-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/113598093/5fdc5996ae4ccb5aa2001f1816cb90a1/small/checkpoint-inhibitor-and-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Checkpoint inhibitor and immuno-oncology investigation leveraging curated high-quality public ‘omics data</video:title>
            <video:description>&lt;p&gt;While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data, such investigation is hindered by the difficulty in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high-quality curated genomic repositories such as QIAGEN OmicSoft Lands immediately allows in-depth investigations across diverse data sources (GEO, CPTAC, TCGA, GTEx and more) to discover and validate candidate checkpoint inhibitor drug targets and biomarkers.&lt;/p&gt;&lt;p&gt;You will learn how to do the following in the graphical user interface and through APIs:&lt;/p&gt;&lt;p&gt;- Easily identify relevant samples using extensive manually curated clinical metadata&lt;/p&gt;&lt;p&gt;- Visualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns using expression data (RNA-seq, scRNA-seq, proteomics etc.)&lt;/p&gt;&lt;p&gt;- Reveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-10T17:31:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4927</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113583070/rna-seq-analysis-for-long-reads</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113583070</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/113583070/70a7612aac820ed74306a947b2056155/video_medium/rna-seq-analysis-for-long-reads-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/113583070/70a7612aac820ed74306a947b2056155/small/rna-seq-analysis-for-long-reads-thumbnail.jpg</video:thumbnail_loc>
            <video:title>RNA-seq analysis for long reads</video:title>
            <video:description>&lt;p&gt;This training will focus on how a user can analyze their long reads data using QIAGEN CLC Genomics Workbench.&lt;/p&gt;&lt;p&gt;Specifically, the trainer will cover how to&lt;/p&gt;&lt;p&gt;• Import the long reads data&lt;/p&gt;&lt;p&gt;• Download or import reference, metadata and other needed files&lt;/p&gt;&lt;p&gt;• Process such data and generate downstream RNA-seq outputs&lt;/p&gt;&lt;p&gt;• Export high resolution graphics and tables&lt;/p&gt;&lt;p&gt;In addition, per registrant feedback and trainer discretion additional topics such as customizing the workflow, how to send data to Ingenuity Pathway Analysis, Sankey plot and more may be covered.&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-10T12:17:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4862</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113502044/hgmd-pro-masterclass-search-curate</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113502044</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/113502044/56cd6d3ada3f44841184a0e7735436c1/video_medium/hgmd-pro-masterclass-search-curate-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/113502044/56cd6d3ada3f44841184a0e7735436c1/small/hgmd-pro-masterclass-search-curate-thumbnail.jpg</video:thumbnail_loc>
            <video:title>HGMD Pro Masterclass- Search curate and classify genetic variants</video:title>
            <video:description>&lt;p&gt;In this era of precision medicine, do you have what it takes to leverage next-generation sequencing (NGS) data towards better cancer research, diagnostics and patient care?&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Join our interactive masterclass on June 3 and learn how Human Gene Mutation Database (HGMD) Professional can help you uncover germline variant insights using expert-curated data. Explore almost 50 years of curated variant knowledge, spanning over 17,600 genes and over 38,000 phenotypes.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;See how you can use HGMD Pro to:&lt;/p&gt;&lt;p&gt;• Distinguish clinically significant variants from VUS  &lt;/p&gt;&lt;p&gt;• Use batch search vs. advanced search  &lt;/p&gt;&lt;p&gt;• Curate genes using HGMD Pro’s accurate, up-to-date information  &lt;/p&gt;&lt;p&gt;• Identify the predominant genetic variant in a specific gene to understand the genetic mechanisms underlying associated diseases  &lt;/p&gt;&lt;p&gt;• Answer other variant-related questions &lt;/p&gt;</video:description>
            <video:publication_date>2025-06-04T17:52:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3567</video:duration>
            <video:category>HGMD</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113462010/shotgun-metagenomics-taxonomic</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113462010</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/113462010/f2e16286585771756bf536364f99470d/video_medium/shotgun-metagenomics-taxonomic-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/113462010/f2e16286585771756bf536364f99470d/small/shotgun-metagenomics-taxonomic-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Shotgun metagenomics taxonomic profiling using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;The QIAGEN CLC Microbial Genomics Module provides tools and workflows for many bioinformatics applications, including microbiome analysis, isolate characterization, functional metagenomics and antimicrobial resistance characterization. The module supports the analysis of bacterial, viral and eukaryotic (fungal) genomes and metagenomes.&lt;/p&gt;&lt;p&gt;This training focuses on whole shotgun metagenomics taxonomic profiling. Specifically, we’ll cover:&lt;/p&gt;&lt;p&gt;• An overview of the different tools within QIAGEN CLC Microbial Genomics Module and the research areas supported&lt;/p&gt;&lt;p&gt;• Taxonomic profiling&lt;/p&gt;&lt;p&gt;• Importing data&lt;/p&gt;&lt;p&gt;• Utilization of metadata&lt;/p&gt;&lt;p&gt;• Downloading and managing references&lt;/p&gt;&lt;p&gt;• Taxonomic profiling workflow (analytical pipeline)&lt;/p&gt;&lt;p&gt;• Downstream processing of abundance tables&lt;/p&gt;&lt;p&gt;• Creating and exporting high-quality graphics&lt;/p&gt;</video:description>
            <video:publication_date>2025-06-03T13:45:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5526</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113437670/decipher-pediatric-cancer</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113437670</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/113437670/ab8412350e6763298d10b751ce63f50d/video_medium/decipher-pediatric-cancer-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/113437670/ab8412350e6763298d10b751ce63f50d/small/decipher-pediatric-cancer-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Decipher pediatric cancer complexities with COSMIC</video:title>
            <video:description>&lt;p&gt;Cancer remains a leading cause of death among children and adolescents worldwide. While many childhood cancers are highly curable, outcomes vary dramatically, with survival rates ranging from 80% in high-income countries to as low as 30% in lower-income regions. These disparities highlight the urgent need for more targeted research into the genetic factors influencing cancer development, early detection and timely, effective treatment.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Despite its importance, pediatric cancers receive only about 4% of global cancer research funding, leaving significant gaps in our collective understanding. Comprehensive, high-quality data is vital to closing these gaps, driving evidence-based care improvements and informing both national and global health policy.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;To help these efforts, the Catalogue of Somatic Mutations in Cancer (COSMIC) v102 release focuses on pediatric cancers, showcasing a wealth of genomic data from recent targeted screens. This webinar will:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Explore selected highlights from the new release&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Leverage deep curation of patient metadata to compare alterations in childhood vs. adult cancers&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Demonstrate how COSMIC’s focus areas of stratification, cause and effect and clinical insights enable progress in this critically under-explored area&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-06-02T16:44:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2777</video:duration>
            <video:category>COSMIC</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113069230/venn-diagrams-and-merging-datasets</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113069230</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/113069230/9af7c2640e96fe8c64d4b6a01b35d38f/video_medium/venn-diagrams-and-merging-datasets-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/113069230/9af7c2640e96fe8c64d4b6a01b35d38f/small/venn-diagrams-and-merging-datasets-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Venn diagrams and merging datasets using QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>&lt;p&gt;Based on recent feedback, we are hosting this 60 minute training focused on below 3 topics.&lt;/p&gt;&lt;p&gt;• How to increase memory in IPA for better loading of charts and networks (request from new users)&lt;/p&gt;&lt;p&gt;• How to generate Venn diagrams (request from new and experienced users)&lt;/p&gt;&lt;p&gt;• How to merge multiple datasets into a single file&lt;/p&gt;&lt;p&gt;Time and interest permitting, we are happy to cover other topics as well.&lt;/p&gt;</video:description>
            <video:publication_date>2025-05-22T14:27:27+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3759</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113057042/beyond-discoveryinvest-in-your</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113057042</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/113057042/5c8d2b7ed6ccb15e5e78a90f56f0fcf7/video_medium/beyond-discoveryinvest-in-your-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/113057042/5c8d2b7ed6ccb15e5e78a90f56f0fcf7/small/beyond-discoveryinvest-in-your-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Beyond discovery_Invest in your research with QIAGEN</video:title>
            <video:description>&lt;p&gt;It’s a tough time to be in research, but QIAGEN is committed to bringing more insights to your work, no matter what challenges you face.&lt;/p&gt;&lt;p&gt;Start investing in your research with our new features, OmicSoft Explorer and IPA Interpret. You can unearth research gold in our curated collection of ‘omics datasets, explore detailed pathway analysis reports and share your insights with anyone with a computer.&lt;/p&gt;&lt;p&gt;In this webinar, you'll learn how to:&lt;/p&gt;&lt;p&gt;• Search through our collection of ‘omics datasets (RNA-seq, scRNA-seq, etc.) curated from GEO, SRA, TCGA and more, based on your criteria&lt;/p&gt;&lt;p&gt;• Examine project details like experimental setup and sample metadata&lt;/p&gt;&lt;p&gt;• Identify biomarkers associated with conditions of interest&lt;/p&gt;&lt;p&gt;• Share pathway analysis reports and insights into disease pathology, drug mechanism of action, cellular processes and more&lt;/p&gt;&lt;p&gt;Also, you’ll receive live answers to any questions you have during the live webinar.&lt;/p&gt;</video:description>
            <video:publication_date>2025-05-22T09:51:39+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3751</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/113001341/meet-hsmd-research-a-game-changing</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=113001341</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/113001341/5a35571c53c63891c10da7df93c56a5d/video_medium/meet-hsmd-research-a-game-changing-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/113001341/5a35571c53c63891c10da7df93c56a5d/small/meet-hsmd-research-a-game-changing-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Meet HSMD Research, a game-changing free somatic tool for academics</video:title>
            <video:description>&lt;p&gt;Welcome to HSMD Research, a free source of critical somatic data on the top 25 clinically significant genes. Designed for academic researchers, this knowledge base offers expert-curated insights into gene annotations, variant distribution, functional impact, clinical relevance and drug associations, proving a strong foundation for hypothesis generation and discovery.&lt;/p&gt;&lt;p&gt;With data from over 870,000 real-world clinical oncology cases and knowledge curated by highly experienced variant experts, HSMD Research can help you specify genes and variants of interest and identify the best-fit cell lines and disease models for your research.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;In this webinar, ​discover HSMD Research’s capabilities with Dr. Umadevi Thirumurthi and learn more about its:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Role in cancer research&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Interactive features&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Practical applications, including the study of tumor suppressors, oncogenes, targeted therapy responses, DNA repair mechanisms, etc.&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-05-20T13:26:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2079</video:duration>
            <video:category>HSMD</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112892460/optimizing-mouse-model-selection</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112892460</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/112892460/53ee636cc7c3e25104b330d450511ada/video_medium/optimizing-mouse-model-selection-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/112892460/53ee636cc7c3e25104b330d450511ada/small/optimizing-mouse-model-selection-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Optimizing mouse model selection with OmicSoft Explorer and Studio</video:title>
            <video:description>&lt;p&gt;Join us for an insightful webinar where you'll discover how to navigate harmonized and curated sample data using Omicsoft Explorer and OmicSoft Studio. Learn how to effectively select patient-derived and cell line-derived mouse models tailored to your research needs.&lt;/p&gt;&lt;p&gt;• Discover how to identify and select relevant projects using OmicSoft Explorer&lt;/p&gt;&lt;p&gt;• Explore expression comparison data to analyze genes of interest effectively&lt;/p&gt;&lt;p&gt;• Learn how to download gene expression data for targeted comparisons&lt;/p&gt;&lt;p&gt;• Dive into sample-level data to pinpoint gene activity across selected samples, aiding in the selection of CDX models&lt;/p&gt;&lt;p&gt;• Create informative heatmaps to visualize expression patterns for genes of interest&lt;/p&gt;</video:description>
            <video:publication_date>2025-05-16T18:20:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4927</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112803888/multimodal-panels-analysis-using</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112803888</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/112803888/c27582f7d64aa6a49401ba97ab29e544/video_medium/multimodal-panels-analysis-using-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/112803888/c27582f7d64aa6a49401ba97ab29e544/small/multimodal-panels-analysis-using-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Multimodal panels analysis using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;This training will go over how QIAGEN CLC Genomics Workbench can be used to analyze Multimodal Panels data.&lt;/p&gt;&lt;p&gt;Trainer will cover&lt;/p&gt;&lt;p&gt;• How to import your data and metadata and download reference and other needed files&lt;/p&gt;&lt;p&gt;• How to use workflow and customize it&lt;/p&gt;&lt;p&gt;• How to visualize and export the results&lt;/p&gt;</video:description>
            <video:publication_date>2025-05-15T10:51:42+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5083</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112699238/identifying-new-drug-targets-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112699238</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/112699238/14413c91bb59b6b392d30855d9a5ac07/video_medium/identifying-new-drug-targets-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/112699238/14413c91bb59b6b392d30855d9a5ac07/small/identifying-new-drug-targets-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Identifying new drug targets and biomarkers for a disease of interest using knowledge graphs</video:title>
            <video:description>&lt;p&gt;QIAGEN Biomedical KB-HD is the high-quality, expert-curated biomedical knowledge base that powers QIAGEN Ingenuity Pathway Analysis. This webinar will focus on proposing new drug targets and biomarkers using the Neo4J graph database management system by mining the Biomedical KB-HD knowledge graph.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;You'll learn how to:&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;• Associate a drug target with a disease indication of interest&lt;/p&gt;&lt;p&gt;• Identify causal intermediates that can serve as potential drug targets&lt;/p&gt;&lt;p&gt;• Identify biomarkers associated with the disease indication in the context of the mechanistic network being studied&lt;/p&gt;&lt;p&gt;• Study drugs and genomics variants associated with intermediates&lt;/p&gt;</video:description>
            <video:publication_date>2025-05-12T14:12:40+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3302</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>bkb</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112697128/single-cell-rna-seq-cell-hashing-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112697128</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/112697128/df89ae2014770664985e40fd350e7e10/video_medium/single-cell-rna-seq-cell-hashing-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/112697128/df89ae2014770664985e40fd350e7e10/small/single-cell-rna-seq-cell-hashing-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single-cell RNA-seq, cell hashing and spatial transcriptomics</video:title>
            <video:description>&lt;p&gt;In this training, you will learn how to analyze and interpret your own single cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;You will learn how to perform secondary analysis on your single cell RNA-seq data with the Workbench. Specifically, you will learn how to:&lt;/p&gt;&lt;p&gt;• Import your raw FASTQ or processed cell-matrix files.&lt;/p&gt;&lt;p&gt;• Use pre-configured but customizable pipelines/workflows for single cell RNA-seq data.&lt;/p&gt;&lt;p&gt;• Generate high resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries. o Dimension reduction (UMAP, t-SNE) plots o Differential expression table for clusters, cell types, or combination of both o Heat map o Dot plots o Violin plots&lt;/p&gt;&lt;p&gt;• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).&lt;/p&gt;&lt;p&gt;• Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.&lt;/p&gt;</video:description>
            <video:publication_date>2025-05-12T13:30:31+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4988</video:duration>
            <video:category>Cancer Drug Discovery</video:category>
            <video:tag>clc</video:tag>
            <video:tag>genomics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112267053/gene-set-enrichment-target-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112267053</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/112267053/695d2dc9dcefd04d7a45a6f5831965eb/video_medium/gene-set-enrichment-target-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/112267053/695d2dc9dcefd04d7a45a6f5831965eb/small/gene-set-enrichment-target-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Gene set enrichment, target validation and Python-based ‘omics data mining</video:title>
            <video:description>&lt;p&gt;Learn how to take advantage of QIAGEN Biomedical KB-HD, the high-quality, expert-curated biomedical knowledge base that powers QIAGEN Ingenuity Pathway Analysis. We’ll also show you how to use QIAGEN OmicSoft Lands, our curated, unified multi-omics knowledge base, for gene set enrichment, target validation and data mining.&lt;/p&gt;&lt;p&gt;You'll learn how to use simple Python-based workflows for:&lt;/p&gt;&lt;p&gt;• Gene Set Enrichment Analysis (GSEA)&lt;/p&gt;&lt;p&gt;• Comparing multiple gene set enrichment methods&lt;/p&gt;&lt;p&gt;• Validating targets at the cell, tissue and organ level using experimental omics data (e.g., RNA-seq, scRNA-seq, proteomics)&lt;/p&gt;&lt;p&gt;• Additional use cases, queries and applications requested by registrants&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-30T11:30:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2734</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112165509/guardant-dr-lauren-lawrence</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112165509</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/112165509/258d10926db0c12f875c215795f04c79/video_medium/guardant-dr-lauren-lawrence-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/112165509/258d10926db0c12f875c215795f04c79/small/guardant-dr-lauren-lawrence-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Guardant | Dr. Lauren Lawrence</video:title>
            <video:description>&lt;p&gt;&lt;strong&gt;IR Deep Dive | Dr. Lauren Lawrence&lt;/strong&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-25T18:24:13+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>145</video:duration>
            <video:category>Clinical Summits</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112128080/dna-seq-whole-genome-whole-exome</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112128080</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/112128080/a9c3544f77900ab1918de27657b2250c/video_medium/dna-seq-whole-genome-whole-exome-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/112128080/a9c3544f77900ab1918de27657b2250c/small/dna-seq-whole-genome-whole-exome-thumbnail.jpg</video:thumbnail_loc>
            <video:title>DNA-seq (whole genome, whole exome, DNA-panel) analyses using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;In this training, we’ll go over how to easily perform DNA-seq (specifically whole genome, whole exome, DNA-panel and similar) analyses easily and effectively using QIAGEN CLC Genomics Workbench.&lt;/p&gt;&lt;p&gt;Together, we’ll explore:&lt;/p&gt;&lt;p&gt;• Read mapping&lt;/p&gt;&lt;p&gt;• Variant calling (SNPs, mutations, Indels and more)&lt;/p&gt;&lt;p&gt;• Annotations and filters&lt;/p&gt;&lt;p&gt;• Genome browser view&lt;/p&gt;&lt;p&gt;Please bring any questions you may have, and we will answer them during this training.&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-24T10:46:57+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4856</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112127496/compare-and-contextualize-results-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112127496</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/112127496/473bd174ecd32969068676988d07ff4c/video_medium/compare-and-contextualize-results-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/112127496/473bd174ecd32969068676988d07ff4c/small/compare-and-contextualize-results-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Compare and contextualize results using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;Take your IPA analysis results to the next level by comparing them to your own analyses (different timepoints, treatments, cell lines, diseased and more) or from a library of over 160,000 pre-computed datasets to find similar or opposite biological signatures. Identify key genes or entities and then explore how they are expressed across normal tissues, diseases and more from over 600,000 biological samples to gain deep context.&lt;/p&gt;&lt;p&gt;Attendees will learn how to:&lt;/p&gt;&lt;p&gt;• Use and interpret the IPA Activity Plot feature to identify key genes and regulators common across datasets&lt;/p&gt;&lt;p&gt;• Scan across pre-computed datasets to query for any collection of genes in a network or pathway for similar or opposite gene signature using Pattern Search&lt;/p&gt;&lt;p&gt;• Advance insights with the IPA Analysis Match comparison feature to compare large numbers of user datasets and/or public datasets (from GEO, SRA, cancer collections and more)&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-24T10:29:07+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5016</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112072191/investigating-drug-targets-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112072191</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/112072191/787bae0da06de0befd1e2e8bd9e7d706/video_medium/investigating-drug-targets-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/112072191/787bae0da06de0befd1e2e8bd9e7d706/small/investigating-drug-targets-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating drug targets and biomarkers by leveraging deeply curated gene and protein expression data through OmicSoft</video:title>
            <video:description></video:description>
            <video:publication_date>2025-04-23T13:59:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3331</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112027227/biomarkers-investigation-through</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112027227</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/112027227/1f03c05a1178336b9156ed2d0c2dc943/video_medium/biomarkers-investigation-through-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/112027227/1f03c05a1178336b9156ed2d0c2dc943/small/biomarkers-investigation-through-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Biomarkers investigation through deep curated ‘omics data available through Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;QIAGEN OmicSoft Lands allows in-depth investigation of biomarkers through deep curated high quality sample level gene and protein expression data obtained through diverse data sources (GEO, CPTAC, TCGA, GTEx and more). These lands are accessible through Ingenuity Pathway Analysis Explorer feature.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;In this training the trainer will go over below workflow (designed based on user questions).&lt;/p&gt;&lt;p&gt;• Easily locate expression data of interest (pertaining to a disease, treatment, cell type etc.)&lt;/p&gt;&lt;p&gt;• Generate expression, correlation and other plots for biomarker investigation and conveniently customize them&lt;/p&gt;&lt;p&gt;• For various comparisons (example disease vs normal, response vs no response) perform pathways interpretation through IPA Interpret&lt;/p&gt;&lt;p&gt;• Conveniently export or share results&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-22T05:33:33+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4936</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/112027053/isolate-typing-strain-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=112027053</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/112027053/a8b8999b44e46243d811fdddcf299667/video_medium/isolate-typing-strain-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/112027053/a8b8999b44e46243d811fdddcf299667/small/isolate-typing-strain-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Isolate Typing, Strain Identification and Antimicrobial Resistance Analyses Using CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;QIAGEN CLC Genomics Workbench provides tools and workflows for a broad range of bioinformatics applications, including microbiome analysis, isolate characterization through SNP and K-mer trees using NGS data, and antimicrobial resistance characterization. CLC Genomics Workbench is widely used for analyses of bacterial, viral and eukaryotic (fungal) genomes and metagenomes.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Topics covered in this webinar include:&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;I.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Overview of different tools within MGM application and research areas supported&lt;/p&gt;&lt;p&gt;II.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; II. Focused review of isolate typing and characterization&lt;/p&gt;&lt;p&gt;III.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; a. How to import data&lt;/p&gt;&lt;p&gt;IV.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; b. Using metadata&lt;/p&gt;&lt;p&gt;V.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; c. Downloading and managing references, including databases of isolates/resistances/MLST&lt;/p&gt;&lt;p&gt;VI.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; d. Walkthrough of the "Type a Known Species" workflow and review of details for each isolate&lt;/p&gt;&lt;p&gt;VII.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; e. Creating SNP profiles to specific reference&lt;/p&gt;&lt;p&gt;VIII.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; f. Generate a SNP tree for isolate comparison&lt;/p&gt;&lt;p&gt;IX.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; g. Export tabular and high-quality graphical outputs in wide range of file formats&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-22T04:03:59+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5246</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111945739/qiagen-ingenuity-pathway-analysis-18</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111945739</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/111945739/a31310e5403470a1c5c3dfdb6afa40c6/video_medium/qiagen-ingenuity-pathway-analysis-18-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/111945739/a31310e5403470a1c5c3dfdb6afa40c6/small/qiagen-ingenuity-pathway-analysis-18-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Ingenuity Pathway Analysis - ID mapping strategies</video:title>
            <video:description>&lt;p&gt;While Ingenuity Pathway Analysis (IPA) accepts wide range of identifiers (gene, transcript, protein, miRNA, metabolite and more) and allows easy mapping/upload of these identifiers, select identifiers require some work before they can be uploaded. In this training, the trainer will use locus tags for a Chinese Hamster Ovary (CHO) cell line dataset as an example to show how such IDs can be made more compatible for optimal mapping in IPA. The trainer will go over strategies such as&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;• Converting such IDs to GenePept IDs to greatly improve mapping&lt;/p&gt;&lt;p&gt;• Using Excel's XLOOKUP function to make seamless conversion.&lt;/p&gt;&lt;p&gt;• Incorporating metabolomic identifiers using publicly available tools&lt;/p&gt;&lt;p&gt;While CHO IDs are used as an example for this training, these strategies can be applied to other IDs as well.&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-16T15:02:33+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3405</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111921750/investigating-mechanisms-underlying</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111921750</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/111921750/d763239ebb46231a00a60407ca05be4f/video_medium/investigating-mechanisms-underlying-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/111921750/d763239ebb46231a00a60407ca05be4f/small/investigating-mechanisms-underlying-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating mechanisms underlying disease pathology using HGMD and Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;This webinar will focus on how Human Gene Mutation Database (HGMD) and Ingenuity Pathway Analysis (IPA) can be used together for investigating molecular mechanisms underlying disease pathology.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Specifically, the presenter will cover&lt;/p&gt;&lt;p&gt;• A brief introduction to HGMD and IPA&lt;/p&gt;&lt;p&gt;• Using HGMD to investigate genes and variants of interest&lt;/p&gt;&lt;p&gt;• Using IPA for constructing novel networks explaining disease pathology&lt;/p&gt;&lt;p&gt;• Easily export tabular and graphical results&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-16T03:28:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5096</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111921671/unlock-insights-with-qiagen-ipa</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111921671</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/111921671/3230a57708930fd53415be57de3b42d9/video_medium/unlock-insights-with-qiagen-ipa-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/111921671/3230a57708930fd53415be57de3b42d9/small/unlock-insights-with-qiagen-ipa-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Unlock insights with QIAGEN IPA: Compare, match and visualize curated datasets alongside your research</video:title>
            <video:description>&lt;p&gt;Streamline your research with QIAGEN IPA and access over 200,000 expert-curated analyses from publicly available datasets. This webinar introduces three powerful methods  to integrate these datasets with your own research, enhancing discovery and interpretation:&lt;/p&gt;&lt;p&gt;•	Analysis Match: Automatically find analyses and datasets with comparable or contrasting biological results to validate your findings or uncover unexpected and shared mechanisms&lt;/p&gt;&lt;p&gt;•	Pattern Search: Match your gene patterns or networks against the Analysis Match collection and find relevant datasets&lt;/p&gt;&lt;p&gt;•	Activity Plot: Explore the predicted activity of pathways, regulators and more across disease conditions, treatments and more&lt;/p&gt;&lt;p&gt;Don’t miss this opportunity to unlock actionable insights and strengthen your analyses with reliable data and cutting-edge tools.&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-16T01:59:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3727</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111921666/workflow-construction-and-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111921666</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/111921666/fb432e1d4c8ac3887f5098a791ee5df9/video_medium/workflow-construction-and-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/111921666/fb432e1d4c8ac3887f5098a791ee5df9/small/workflow-construction-and-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Workflow construction and customization using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Recently we have received some requests from CLC users (as well as CLC RNA-seq certification participants) to go over workflow construction and customization using CLC Genomics Workbench. Accordingly, we are hosting this training. The term workflow refers to bioinformatics secondary analysis pipelines such as DNA-seq, RNA-seq, OTU clustering, de novo assembly and more offered by CLC Genomics Workbench.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;In this training, the trainer will go over&lt;/p&gt;&lt;p&gt;• The basics of workflow construction&lt;/p&gt;&lt;p&gt;• How to visualize different steps of the workflow and customize different settings&lt;/p&gt;&lt;p&gt;• How to edit workflows (add/remove steps, lock/unlock parameters and more)&lt;/p&gt;&lt;p&gt;• How to share workflows&lt;/p&gt;&lt;p&gt;• How to install workflows&lt;/p&gt;&lt;p&gt;• Other workflow related topics&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-16T01:54:25+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3790</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111727665/qiagen-ipa-discoveries-from-deep</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111727665</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/111727665/272cee2f8582696b70d9133b88867f06/video_medium/qiagen-ipa-discoveries-from-deep-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/111727665/272cee2f8582696b70d9133b88867f06/small/qiagen-ipa-discoveries-from-deep-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA - Discoveries from deep curated public gene and protein expression data</video:title>
            <video:description>&lt;p&gt;This is a special session put together based on some of the questions we received in recent trainings. IPA allows you to take advantage of deep curate public data from sources such as GEO, GTEx, CPTAC, TCGA and more. This training will focus on below 2 questions mainly but possibly others we receive through the registration and during the live session.&lt;/p&gt;&lt;p&gt;1) How to locate pathway analysis of a deep curated public dataset? Example I am interested in 'disease vs normal' or 'treated vs untreated' or 'cell type 1 vs others' comparison from a study. How can I launch pathway analysis of such dataset through IPA project search?&lt;/p&gt;&lt;p&gt;2) I also want to investigate such studies and consortia at sample expression level. Example how is a specific gene or protein expressed in disease1 vs disease 2 vs normal tissue or treated vs untreated samples? For 2 genes can we generate a correlation plot?&lt;/p&gt;&lt;p&gt;The training may last only ~60min but reserving longer time in case we receive additional questions.&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-07T20:21:02+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4484</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111610935/expanding-rare-disease-horizons</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111610935</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/111610935/b518627a3907910274dda20c2f1f5ff2/video_medium/expanding-rare-disease-horizons-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/111610935/b518627a3907910274dda20c2f1f5ff2/small/expanding-rare-disease-horizons-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Expanding rare disease horizons Developing a diagnostic algorithm for episodic ataxias</video:title>
            <video:description>&lt;p&gt;&lt;em&gt;In the absence of genetic testing, is there a clear way forward with diagnosing and treating rare genetic diseases?&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;A great challenge in rare disease research is finding enough affected individuals to create large cohorts. In addition to limited logistical or financial access to NGS, clinicians are often left to rely solely on observed symptoms. Unfortunately, clear guidelines on facilitating diagnoses and care for many diseases in resource-limited settings are non-existent.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;In this webinar, Claudio de Gusmao, director of the Pediatric Movement Disorders Program at the University of São Paulo, will show how his team developed a diagnostic and management algorithm using KCNA1 mutation-driven episodic ataxia type 1 (EA1) and CACNA1A mutation-driven episodic ataxia type 2 as a model. De Gusmao will explore how:&lt;/em&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;em&gt;Specific clinical variables can assist in the differential diagnosis of EA1 vs. EA2, such as attack duration, triggers, interictal symptoms, and more.&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;em&gt;Statistical analyses of published cases can potentially advance rare disease research.&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;em&gt;Comprehensive, human expert-curated variant data such as from Human Mutation Gene Database (HGMD) Professional can help streamline the process of vetting variants and published studies in preparation for systematic literature reviews.&lt;/em&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-04-03T12:29:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3408</video:duration>
            <video:category>HGMD</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111603704/finding-the-perfect-clc-tool-for</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111603704</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/111603704/56af4fa5aceef1bd1322876c0469bef0/video_medium/finding-the-perfect-clc-tool-for-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/111603704/56af4fa5aceef1bd1322876c0469bef0/small/finding-the-perfect-clc-tool-for-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Finding the Perfect CLC Tool for your Workflow</video:title>
            <video:description>&lt;p&gt;Here are some quick tips on locating tools in CLC Genomics Workbench version 25+&lt;/p&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-03T09:02:04+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>305</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc genomics workbench tutorial</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
            <video:tag>workflow</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111603530/convenient-way-to-launch-analysis</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111603530</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/111603530/2f0ce81a4a4d8fe05d3bcf68359ec6e0/video_medium/convenient-way-to-launch-analysis-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/111603530/2f0ce81a4a4d8fe05d3bcf68359ec6e0/small/convenient-way-to-launch-analysis-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Convenient Way To Launch Analysis Tools from UMAP Plots in the Single Cell Analysis Plugin</video:title>
            <video:description>&lt;p&gt;In this video, we demonstrate the different tools that can be launched directly from the UMAP plot with a simple right-click.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Recent training&amp;nbsp; webinar and tutorial that includes UMAP plot generation from single-cell data:&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftv.qiagenbioinformatics.com%2Fvideo%2F109127416%2Fsingle-cell-rna-seq-cell-hashing-2&amp;amp;data=05%7C02%7CMarcellin.Bayita%40qiagen.com%7C0ba1e0f5597e4b388bf108dd73564ab8%7Cdc81d03c239c4fd5a96f18a58773c86c%7C0%7C0%7C638793536640200046%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;amp;sdata=GofUYtLm%2Bfq4qXyBRiYmlpHmqlnLippOnRZ1GTLuMf0%3D&amp;amp;reserved=0"&gt;Single-cell RNA-seq, cell hashing and spatial transcriptomics&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fresources.qiagenbioinformatics.com%2Ftutorials%2Fsc-rna-velocity.pdf&amp;amp;data=05%7C02%7CMarcellin.Bayita%40qiagen.com%7C0ba1e0f5597e4b388bf108dd73564ab8%7Cdc81d03c239c4fd5a96f18a58773c86c%7C0%7C0%7C638793536640215577%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;amp;sdata=h9unqCz4iAPRzonKgtqm%2F9AN6QD%2Fok0U9XoIFhjRldw%3D&amp;amp;reserved=0"&gt;Tutorial: Perform Single-Cell RNA Expression and Velocity Analysis&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-03T08:57:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>343</video:duration>
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    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111603414/visualizing-spatial-transcriptomics</loc>
        <video:video>
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            <video:title>Visualizing Spatial Transcriptomics Data in CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;How to&amp;nbsp; import and visualize spatial transcriptomics data in CLC&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-03T08:54:18+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>473</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
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            <video:tag>clc genomics workbench tutorial</video:tag>
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    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111603313/precise-workflow-path-control-using</loc>
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            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111603313</video:player_loc>
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            <video:title>Precise Workflow Path Control using Branching Elements</video:title>
            <video:description>&lt;p&gt;Direct outputs through a workflow based on sequence count, coverage, and sample quality using branching elements &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Branching_elements.html"&gt;https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Branching_elements.html&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-03T08:49:42+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>202</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
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    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111603291/overlaying-expression-data-onto</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111603291</video:player_loc>
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            <video:title>Overlaying Expression Data onto UMAP Plots using  the Single Cell  Analysis Plugin</video:title>
            <video:description>&lt;p&gt;In this video, we show how to color cells based on the expression of genes of interest in a UMAP.&amp;nbsp; We also demonstrate how to examine expression values from the plot in a selected group of cells.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Recent training&amp;nbsp; webinar and tutorial that includes UMAP plot generation from single-cell data:&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftv.qiagenbioinformatics.com%2Fvideo%2F109127416%2Fsingle-cell-rna-seq-cell-hashing-2&amp;amp;data=05%7C02%7CMarcellin.Bayita%40qiagen.com%7C0ba1e0f5597e4b388bf108dd73564ab8%7Cdc81d03c239c4fd5a96f18a58773c86c%7C0%7C0%7C638793536640156915%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;amp;sdata=3VFYQc3K8207kBxc90bkq9fLmNykn0nwSV2ar9eB0xg%3D&amp;amp;reserved=0"&gt;Single-cell RNA-seq, cell hashing and spatial transcriptomics&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fresources.qiagenbioinformatics.com%2Ftutorials%2Fsc-rna-velocity.pdf&amp;amp;data=05%7C02%7CMarcellin.Bayita%40qiagen.com%7C0ba1e0f5597e4b388bf108dd73564ab8%7Cdc81d03c239c4fd5a96f18a58773c86c%7C0%7C0%7C638793536640182405%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;amp;sdata=96KaTp03lZdVwVioMnxCJpObOMYEVjIVMeI7FPpTCMI%3D&amp;amp;reserved=0"&gt;Tutorial: Perform Single-Cell RNA Expression and Velocity Analysis&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-03T08:47:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>336</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
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    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111603261/installing-clc-network-license</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111603261</video:player_loc>
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            <video:title>Installing CLC Network License manager and Downloading Network Licenses on Windows Operating Systems</video:title>
            <video:description>&lt;p&gt;How to install the CLC network license manager, network licenses, and CLC Genomics Workbench on Windows&lt;/p&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-03T08:44:27+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>260</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
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    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111603222/importing-single-cell-data-into-clc</loc>
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            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111603222</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/111603222/60e198a5c546b2a5b7c6460c2faabfaa/video_medium/importing-single-cell-data-into-clc-video.mp4</video:content_loc>
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            <video:title>Importing Single Cell Data into CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Single cell expression matrices can be imported into CLC manually using the import single cell matrix tool or they can be imported automatically using workflows. &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://resources.qiagenbioinformatics.com/manuals/clcsinglecellanalysis/current/index.php?manual=Import_Expression_Matrix.html"&gt;https://resources.qiagenbioinformatics.com/manuals/clcsinglecellanalysis/current/index.php?manual=Import_Expression_Matrix.html&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-04-03T08:42:13+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>326</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
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    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111491243/network-construction-and-1</loc>
        <video:video>
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            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/111491243/fd2eee082134517401e239c36b5e0f7f/video_medium/network-construction-and-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/111491243/fd2eee082134517401e239c36b5e0f7f/small/network-construction-and-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Network construction and customization in QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;Per attendees’ request from a recent training, we are hosting this in-depth training focused on how to effectively construct a network and easily modify it for both no dataset or dataset (RNA-seq, proteomics, etc.) in QIAGEN Ingenuity Pathway Analysis.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;In this interactive training, attendees will learn:&lt;/p&gt;&lt;p&gt;• How to construct a network from scratch or open a network/pathway of interest from their own analysis or Ingenuity database&lt;/p&gt;&lt;p&gt;• How to effectively use tools present in build and overlay menu to add molecules (genes/proteins), chemicals, metabolites, biological processes/diseases and more of their interest • How to modify the network (ex. keep only specific type of relationship like activation, phosphorylation, protein-protein binding and more)&lt;/p&gt;&lt;p&gt;• Perform in silico prediction (ex. if a drug, siRNA or CRISPR were to reduce activity of a gene/protein, how will impact remaining genes/proteins/diseases on that network)&lt;/p&gt;&lt;p&gt;• Export high resolution graphics or tabular relationships and/or make the created network usable in future pathway analysis&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Additional QIAGEN Digital Insights (QDI) scientists will be on the call to answer your questions and help with other inquiries such as how to install the software.&lt;/p&gt;</video:description>
            <video:publication_date>2025-03-27T23:51:02+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5254</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111459662/wrapping-external-applications-into</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111459662</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/111459662/967022c24f0f2d268688351edf3da62d/video_medium/wrapping-external-applications-into-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/111459662/967022c24f0f2d268688351edf3da62d/small/wrapping-external-applications-into-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Wrapping external applications into QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;QIAGEN’s CLC bioinformatics software portfolio provides user-friendly and intuitive solutions that run on any platform. This helps scientists to focus on the biology of their research without requiring them to write code, or compile and run software from the command line.&lt;/p&gt;&lt;p&gt;At QIAGEN we understand, however, that no single piece of software can meet the needs of every bioinformatics challenge. Sometimes, you need to supplement standard pipelines with your own scripts, open-source tools or third party applications from the command-line.&lt;/p&gt;&lt;p&gt;Accordingly, this training will go over:&lt;/p&gt;&lt;p&gt;• A quick introduction to CLC Genomics Workbench&lt;/p&gt;&lt;p&gt;• Wrapping an external application into the CLC environment&lt;/p&gt;&lt;p&gt;• Running external application alongside CLC tools and exporting results.&lt;/p&gt;</video:description>
            <video:publication_date>2025-03-26T19:03:31+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4788</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
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            <video:tag>clc webinar</video:tag>
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        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111416559/screening-100000-newborns-using</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111416559</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/111416559/4cc5bcaccfcf8f0f42aaf182d5e0aedc/video_medium/screening-100000-newborns-using-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/111416559/4cc5bcaccfcf8f0f42aaf182d5e0aedc/small/screening-100000-newborns-using-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Screening 100,000 newborns using whole genome sequencing: The Genomics England Generation Study</video:title>
            <video:description>&lt;p&gt;In this on-demand recording from ACMG 2024, hear from Dr. David Bick, Principal Clinician of the Newborn Genomes Program at Genomics England, as he discusses the first-of-its-kind initiative aiming to sequence the genomes of 100,000 newborns in England to screen for over 200 selected conditions.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;In his talk, you will learn about:&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;The development and deployment of The Generation Study&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How Genomics England selected the genes and conditions to include in the point-of-care test&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;How QIAGEN provided expert-curated content for 69,844 pathogenic or likely pathogenic variants&amp;nbsp;across all&amp;nbsp;209 conditions&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;The variant prioritization strategy used by Genomics England to enable efficient and actionable reporting&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;The anticipated research outcomes and future plans&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Learn more about how QIAGEN is supporting The Generation Study &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdigitalinsights.qiagen.com%2Fgenomics-england%2F&amp;amp;data=05%7C02%7CMarcellin.Bayita%40qiagen.com%7C8be8cc1f30834c43ec0508dd662daaa8%7Cdc81d03c239c4fd5a96f18a58773c86c%7C0%7C0%7C638779068494201219%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;amp;sdata=miSLVpQ9vB8cMdUF61cEjHRuBEyweOkW5%2F90ur0VYLw%3D&amp;amp;reserved=0"&gt;here&lt;/a&gt;.&lt;/p&gt;</video:description>
            <video:publication_date>2025-03-25T13:24:43+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2585</video:duration>
            <video:category>QCI Interpret for Hereditary</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111412058/rna-seq-data-analysis-using-qiagen</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111412058</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/111412058/c59d52ec71d28eb317e11066874f8e0d/video_medium/rna-seq-data-analysis-using-qiagen-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/111412058/c59d52ec71d28eb317e11066874f8e0d/small/rna-seq-data-analysis-using-qiagen-thumbnail.jpg</video:thumbnail_loc>
            <video:title>RNA-seq data analysis using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;For RNA-seq data, you will learn how to:&lt;/p&gt;&lt;p&gt;• Import FASTQ files, cell matrix files and metadata and how to download references&lt;/p&gt;&lt;p&gt;• Map reads to a reference genome and generate gene and transcript counts and QC reports displaying % mapped reads, knee plots, etc.&lt;/p&gt;&lt;p&gt;• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, sankey plot and others&lt;/p&gt;&lt;p&gt;• Easily customize RNA-seq workflows • Export publication-quality graphics, tables and reports&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Per audience request&lt;/p&gt;&lt;p&gt;• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways&lt;/p&gt;</video:description>
            <video:publication_date>2025-03-25T11:58:33+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5473</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111408830/easily-search-and-interpret-omics</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111408830</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/111408830/6f0e3ddae9809faa18910d98b4ac0ba8/video_medium/easily-search-and-interpret-omics-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/111408830/6f0e3ddae9809faa18910d98b4ac0ba8/small/easily-search-and-interpret-omics-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Easily search and interpret 'omics datasets using OmicSoft Explorer and IPA Interpret</video:title>
            <video:description>&lt;p&gt;In this webinar, the trainer will cover a highly requested usecase using OmicSoft Explorer and IPA Interpret, two of the new features recently introduced to both QIAGEN IPA and OmicSoft customers.&lt;/p&gt;&lt;p&gt;Specifically, the trainer will go over how to&lt;/p&gt;&lt;p&gt;• Easily search for deep curated high-quality omics (RNA-seq, scRNA-seq etc.) datasets of interest based on user defined criteria (Disease name, drug treatment and more) curated from sources such as GEO, SRA, TCGA and more&lt;/p&gt;&lt;p&gt;• Explore project details to gain better understanding of experimental setup and sample metadata&lt;/p&gt;&lt;p&gt;• Study volcano plots to identify biomarkers associated with conditions of interest&lt;/p&gt;&lt;p&gt;• Generate sharable pathway analysis reports that provide insights into disease pathology, drug mechanism of action, cellular processes and more&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;IPA Interpret and OmicSoft Explorer are now available through both IPA and OmicSoft. Learn more: &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA4Sc00000023mbKAA&amp;amp;categoryName=BioX"&gt;https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA4Sc00000023mbKAA&amp;amp;categoryName=BioX&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2025-03-25T11:08:59+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3323</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111396229/analysis-of-microbial-communities</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111396229</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/111396229/a7b65dd32152fde7707ba68ddef30395/video_medium/analysis-of-microbial-communities-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/111396229/a7b65dd32152fde7707ba68ddef30395/small/analysis-of-microbial-communities-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Analysis of microbial communities for biotransformation, biodegradation and bioremediation using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Geomicrobiology and petroleum microbiology are important fields that study how microbes interact with geological, geochemical, and petroleum processes. Understanding the composition of microbial communities can advance our knowledge of biotransformation, biodegradation, and bioremediation in industries such as environmental engineering, mining, and oil and gas.&lt;/p&gt;&lt;p&gt;QIAGEN CLC Genomics Workbench and the Microbial Genomics Module provide tools and workflows for a broad range of bioinformatics applications, including microbiome analysis, isolate characterization, and functional metagenomics. This webinar will focus on amplicon-based taxonomic profiling (16S/18S/ITS sequencing OTU clustering) using data collected from oil reservoirs. Specifically, the trainer will be:&lt;/p&gt;&lt;p&gt;• Highlighting different tools within the MGM application and research areas supported&lt;/p&gt;&lt;p&gt;• For taxonomic profiling:&lt;/p&gt;&lt;p&gt;o Importing data&lt;/p&gt;&lt;p&gt;o Utilizing metadata&lt;/p&gt;&lt;p&gt;o Downloading and managing references&lt;/p&gt;&lt;p&gt;o Launching the OTU clustering workflow (analytical pipeline)&lt;/p&gt;&lt;p&gt;• Downstream processing of abundance tables&lt;/p&gt;&lt;p&gt;• Creating and exporting high-quality graphics&lt;/p&gt;</video:description>
            <video:publication_date>2025-03-24T23:01:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3595</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/111394431/atcc-cell-line-data-utilization-for-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=111394431</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/111394431/08eb3ca0e8984aba458cfb59fe239f98/video_medium/atcc-cell-line-data-utilization-for-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/111394431/08eb3ca0e8984aba458cfb59fe239f98/small/atcc-cell-line-data-utilization-for-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>ATCC cell line data utilization for cell line selection, validation and other applications</video:title>
            <video:description>&lt;p&gt;Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;During this 90-minute discussion, we'll explore how you can use these software tools to:&lt;/p&gt;&lt;p&gt;• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research and more&lt;/p&gt;&lt;p&gt;• Examine various 'omics data for genes of interest for expression, mutation, hotspots and gene dependency data&lt;/p&gt;&lt;p&gt;• Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to the drug target identification&lt;/p&gt;&lt;p&gt;• Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)&lt;/p&gt;&lt;p&gt;• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks Our system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.&lt;/p&gt;</video:description>
            <video:publication_date>2025-03-24T19:28:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5393</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110919051/ipa-deeper-dive-mirna-investigation-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110919051</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/110919051/a6fabbcf2ee639d0ab386263d7d9efc3/video_medium/ipa-deeper-dive-mirna-investigation-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/110919051/a6fabbcf2ee639d0ab386263d7d9efc3/small/ipa-deeper-dive-mirna-investigation-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA deeper dive miRNA investigation using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;Description: In this 90-minute training session, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.&lt;/p&gt;
&lt;p&gt;Topics that will be covered include:&lt;/p&gt;
&lt;p&gt;• How to analyze miRNA-seq datasets alone or both miRNA and corresponding mRNA datasets together&lt;/p&gt;
&lt;p&gt;• How to use QIAGEN IPA without a dataset, using miRNA IDs&lt;/p&gt;
&lt;p&gt;• Introduction to databases and curated content specific to miRNA&lt;/p&gt;
&lt;p&gt;• How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;To learn more about IPA or request for a trial: &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_042024webinars-miRNA"&gt;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_042024webinars-miRNA"&gt;https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_042024webinars-miRNA&lt;/a&gt;&lt;/a&gt;&lt;/p&gt;
</video:description>
            <video:publication_date>2025-03-18T04:03:30+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5091</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110918797/targeting-muc16-neoantigens-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110918797</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/110918797/06e123bd1b18cf2eaf2b0bb2570a04a6/video_medium/targeting-muc16-neoantigens-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/110918797/06e123bd1b18cf2eaf2b0bb2570a04a6/small/targeting-muc16-neoantigens-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Targeting MUC16 Neoantigens in Pancreatic Cancer: Precision Oncology and Indication Selection</video:title>
            <video:description>&lt;p&gt;This webinar shows how we enable identification and prioritization of a novel drug target—&lt;strong&gt;MUC16&lt;/strong&gt;—using data from The Cancer Genome Atlas (TCGA), all without requiring deep bioinformatics expertise. The analyst shows how to mine frequently mutated genes across solid tumors, filter for druggable targets based on subcellular localization and extracellular domain structure and evaluate mutation prevalence and protein context. MUC16 emerged as a compelling candidate, particularly in &lt;strong&gt;pancreatic adenocarcinoma&lt;/strong&gt;, where mutations and high expression levels correlated with poorer patient survival. Despite its relevance, few clinical trials currently target MUC16 in this disease, revealing a potentially untapped therapeutic niche. Network analysis and in silico perturbation simulations further suggested that modulating MUC16 expression could meaningfully influence oncogenic pathways. The session concluded by encouraging attendees to explore digital services and underscoring the speed and accessibility of tools for hypothesis generation and target validation.&lt;/p&gt;</video:description>
            <video:publication_date>2025-03-18T02:53:22+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>831</video:duration>
            <video:category>Cancer Drug Discovery</video:category>
            <video:tag>cancer_drug_discovery</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110874879/interpretation-of-spatial</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110874879</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/110874879/2c9d6cd945d5c2eef2b4a9b05fd0403a/video_medium/interpretation-of-spatial-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/110874879/2c9d6cd945d5c2eef2b4a9b05fd0403a/small/interpretation-of-spatial-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Interpretation of spatial transcriptomics data using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;This 90-minute training session is about how QIAGEN Ingenuity Pathway Analysis (IPA) allows visualization of molecular intricacy and variations that scientists aim to elucidate from spatial transcriptomics data. We will take spatially segmented differential expression data generated using spatial transcriptomics platforms and learn how to derive biological insights across multiple experimental observations. We will walk through the following during this training:&lt;/p&gt;
&lt;p&gt;• How to upload your spatial transcriptomics data into IPA&lt;/p&gt;
&lt;p&gt;• How to set up core analyses&lt;/p&gt;
&lt;p&gt;• Generate a comparison analysis across spatially segmented experimental groups&lt;/p&gt;
&lt;p&gt;• Examine canonical pathway and upstream regulator shared or differing biology across your segmented datasets&lt;/p&gt;
</video:description>
            <video:publication_date>2025-03-14T15:53:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5557</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110756239/using-omicsoft-oncoland-to</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110756239</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/110756239/831b882915831f52c69f70eed5cb67bb/video_medium/using-omicsoft-oncoland-to-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/110756239/831b882915831f52c69f70eed5cb67bb/small/using-omicsoft-oncoland-to-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Using OmicSoft OncoLand to integrate public expression</video:title>
            <video:description>&lt;p&gt;QIAGEN OmicSoft Lands are high-quality curated repositories of genomics and proteomics data sourced from public, published studies (GEO, EBI, SRA) and consortia (TCGA, CPTAC, GTEx, and more). Because of our expert curation and stringent quality checks, OmicSoft users can deeply investigate across diverse oncology and normal tissue/cell datasets to discover and validate candidate drug targets and biomarkers.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this training, attendees will use OmicSoft Studio, our graphical user interface, to access public data from The Cancer Genome Atlas (TCGA). Using this data, you will learn how to:&lt;/p&gt;
&lt;p&gt;• View gene expression and somatic mutation frequency across different tumor types and conditions&lt;/p&gt;
&lt;p&gt;• Identify genes whose expression correlates or anti-correlates with mutation of your target&lt;/p&gt;
&lt;p&gt;• Prioritize your candidate biomarkers using expression data across comparisons (tumor vs. normal, MUT vs. WT, etc.)&lt;/p&gt;
&lt;p&gt;• Establish survival consequences from changes in your candidate biomarker’s expression or mutation status&lt;/p&gt;
</video:description>
            <video:publication_date>2025-03-12T12:25:39+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5576</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110456175/streamline-clinical-reporting-for</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110456175</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/110456175/c6bc519995561a5e30d2a6212e6f468f/video_medium/streamline-clinical-reporting-for-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/110456175/c6bc519995561a5e30d2a6212e6f468f/small/streamline-clinical-reporting-for-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Streamline clinical reporting for high-throughput oncology NGS testing with QCI Interpret One</video:title>
            <video:description>&lt;p&gt;With the rising demand for personalized cancer treatments, clinical diagnostic labs are under increasing pressure to expand their capabilities, boost test throughput, shorten turnaround times, and produce detailed, oncologist-ready reports that quickly align patients with the most suitable therapies and clinical trials.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this webinar, learn how QCI Interpret, clinical decision support software for variant interpretation and reporting, can help your lab accelerate clinical reporting workflows for high-throughput precision oncology NGS testing. The webinar will showcase QCI Interpret’s ability to streamline variant interpretation by dynamically computing pathogenicity and actionability for each variant based on ACMG and AMP/ASCO/CAP guidelines, covering more than 30,000 cancer types and subtypes with full transparency and supporting references. You’ll also learn how to utilize over 600,000 pre-formulated, oncologist-reviewed variant interpretation summaries to create customizable, up-to-date, oncologist-ready reports with detailed gene, variant, diagnostic, prognostic, and therapeutic information. Additionally, attendees will get an exclusive preview of the software’s new features designed to further optimize the somatic interpretation workflow.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Viewers will: &amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;&lt;p&gt; Discover how QCI Interpret’s newly added Reflex function allows you to effortlessly resubmit a pre-analyzed test for full curation, enabling you to obtain a comprehensive expert review and content for uncurated variants with ease. &amp;nbsp;&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Get a preview of the latest oncology workflow enhancements, including retaining user-specific treatment decisions in a variant-diagnosis specific manner, automatic reapplication of the somatic reporting policy when pathogenicity classification or reportability status changes, and the addition of ClinGen/VICC scores in the variant details page.&amp;nbsp;&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Explore how QCI Interpret, a panel- and sequencer-agnostic software and its underlying knowledge base that integrates QIAGEN's expert curation with AI-powered machine curation to enable accurate, consistent identification of relevant literature, treatments, and clinical trials, provides an optimal solution that addresses key bottlenecks in your clinical oncology workflow.&amp;nbsp;&lt;/p&gt;
&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-03-06T14:45:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3061</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110455349/qci-interpret-for-hereditary-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110455349</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/110455349/47b075d5304379fc5158176eaec35b8c/video_medium/qci-interpret-for-hereditary-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/110455349/47b075d5304379fc5158176eaec35b8c/small/qci-interpret-for-hereditary-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QCI Interpret for Hereditary Disorders</video:title>
            <video:description>&lt;p&gt;Clinical labs face significant challenges in interpreting germline variants for hereditary disease diagnostics, including the overwhelming volume of genomic data, the complexity of variant classification, the need for rapid yet accurate interpretation, and the difficulty of maintaining up-to-date, evidence-based insights amid evolving guidelines and literature.&lt;/p&gt;
&lt;p&gt;In this webinar, learn how QCI Interpret, clinical decision support software for variant interpretation and reporting, can help your lab rapidly identify pathogenic variants, improve diagnostic yields, and significantly reduce test turnaround time for hereditary diseases. Attendees will receive a demonstration of QCI Interpret’s unique capabilities and advanced features for germline variant interpretation. Key highlights will include how your lab can expedite variant interpretation by leveraging the most extensive, manually curated knowledge base, dynamically compute pathogenicity based on ACMG guidelines for every variant with full transparency, and leverage QCI Interpret’s proprietary human-certified AI approach to literature curation and variant classification to streamline your interpretation workflow.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Viewers will:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;&lt;p&gt;Learn about the latest enhancements to QCI Interpret for hereditary diseases, including enhanced filtering capabilities, addition of new annotation sources and efficiency improvements to reduce turnaround time.&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Receive a demonstration of QCI Interpret’s analysis and interpretation workflows for hereditary diseases using targeted and extended gene panels, including whole-genome and whole-exome sequencing.&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Learn about QIAGEN’s proprietary expert curation process for the knowledge base in QCI Interpret.&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Explore unique time-saving features within QCI Interpret, including phenotype-driven ranking and automation of ACMG guidelines.&lt;/p&gt;
&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-03-06T14:25:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2813</video:duration>
            <video:category>QCI Interpret for Hereditary</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110372171/simplify-gene-discovery-three</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110372171</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/110372171/2d4ed999f8de6ed327b86a9331a50dcd/video_medium/simplify-gene-discovery-three-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/110372171/2d4ed999f8de6ed327b86a9331a50dcd/small/simplify-gene-discovery-three-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Simplify gene discovery Three solutions to decode variants and pathways</video:title>
            <video:description>&lt;p&gt;Does your lab need a faster and easier way to uncover associations between gene variants, diseases, and biological pathways? As next-generation sequencing (NGS) data grows exponentially, discovering new genes implicated in hereditary diseases or cancer progression has never been more challenging or time-intensive. However, advanced bioinformatics tools and expert-curated content from QIAGEN can simplify, enrich, and accelerate your research.&lt;/p&gt;
&lt;p&gt;Join us for an informative webinar that will provide a deep-dive into three cutting-edge solutions: QIAGEN CLC Genomics Workbench, QCI Interpret Translational, and QIAGEN Ingenuity Pathway Analysis (IPA). Attendees will learn through demonstrations how these three solutions can analyze sequencing data from a variety of NGS technologies, annotate genes using the world’s most comprehensive and up-to-date curated scientific evidence, and find biological connections in gene variants. Helping you streamline your NGS workflows from FASTQ to discovery, these three easy-to-use solutions will enable you to pinpoint disease-associated variants, uncover biological mechanisms, and turn data into breakthroughs faster than ever.&lt;/p&gt;
&lt;p&gt;In this webinar, you’ll learn how to:&lt;/p&gt;
&lt;p&gt;• Use the LightSpeed module of QIAGEN CLC Genomics Workbench for ultra-fast, FASTQ-to-VCF NGS data processing that can deliver whole genome or exome results in minutes.&lt;/p&gt;
&lt;p&gt;• Leverage QCI Interpret Translational to accelerate your understanding of hereditary and tumor variants with powerful cohort analysis capabilities.&lt;/p&gt;
&lt;p&gt;• Use QIAGEN IPA to uncover novel biological mechanisms with the world’s most comprehensive manually curated database.&lt;/p&gt;
&lt;p&gt;This is your opportunity to speed up discoveries, gain deeper insights, and make impactful connections. Don’t miss out—your next breakthrough starts here.&lt;/p&gt;
</video:description>
            <video:publication_date>2025-03-03T18:31:30+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4898</video:duration>
            <video:category>QCI I Translational</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110364564/multi-omics-metabolomics-proteomics-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110364564</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/110364564/0e9028c785a81764a273aedaaa29ec93/video_medium/multi-omics-metabolomics-proteomics-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/110364564/0e9028c785a81764a273aedaaa29ec93/small/multi-omics-metabolomics-proteomics-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;This 90-minute training session is about how QIAGEN Ingenuity Pathway Analysis (IPA) allows visualization of molecular intricacy and variations at multiple levels such as transcriptome, proteome, and metabolome. Through a series of brief technical vignettes, it is demonstrated how to:&lt;/p&gt;
&lt;p&gt;· Generate associations among molecular signatures obtained via integrating multi-omics data&lt;/p&gt;
&lt;p&gt;· Extract mechanisms from multi-omics data for precision medicine&lt;/p&gt;
&lt;p&gt;· Disease stratification based on multi-omics profiles&lt;/p&gt;
&lt;p&gt;· Map disease networks among targets and indications&lt;/p&gt;
</video:description>
            <video:publication_date>2025-03-03T14:06:22+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5986</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110294350/deeply-curated-single-cell-rna-seq</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110294350</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/110294350/0de18fca5561094e33de1dc84809fb4a/video_medium/deeply-curated-single-cell-rna-seq-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/110294350/0de18fca5561094e33de1dc84809fb4a/small/deeply-curated-single-cell-rna-seq-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Deeply curated single-cell RNA-seq data investigation using QIAGEN Omicsoft and Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;Single-cell RNA-sequencing (scRNA-seq) is widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapy (including immunotherapy) and more. Accordingly, a tremendous amount of scRNA-seq data has been deposited to public domains like GEO.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this training, you will learn how to&lt;/p&gt;
&lt;p&gt;· Locate public single-cell studies of interest using QIAGEN Omicsoft Single Cell Lands&lt;/p&gt;
&lt;p&gt;· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)&lt;/p&gt;
&lt;p&gt;· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)&lt;/p&gt;
&lt;p&gt;· Identify key pathways and regulators from scRNA-seq data using QIAGEN Ingenuity Pathway Analysis (IPA)&lt;/p&gt;
</video:description>
            <video:publication_date>2025-02-27T10:32:05+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4968</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110293559/decode-genetic-variants-with-hgmd</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110293559</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/110293559/bdd38f255bd18473381129410ce5fb30/video_medium/decode-genetic-variants-with-hgmd-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/110293559/bdd38f255bd18473381129410ce5fb30/small/decode-genetic-variants-with-hgmd-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Decode genetic variants with HGMD Professional</video:title>
            <video:description>&lt;p&gt;Next-generation sequencing (NGS): the technology that took the biological research world by storm. Gone are the days when sequencing a whole human genome would take almost 13 years, now reduced to a day. But an abundance of data means nothing without high-quality resources – only when used together can they produce an interpretation that is accurate, timely and usable for patient care.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In our live, interactive training session on February 26, discover how you can use Human Gene Mutation Database (HGMD) Professional to streamline your lab’s variant interpretation. Explore the wealth of comprehensive, expert-curated data on inherited disease-associated germline variants and ensure that you are equipped to get the most out of NGS data.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Learn to use HGMD Pro to:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;• Distinguish clinically significant variants from VUS&lt;/p&gt;
&lt;p&gt;• Use batch search vs. advanced search&lt;/p&gt;
&lt;p&gt;• Curate genes using HGMD Pro’s accurate, up-to-date information&lt;/p&gt;
&lt;p&gt;• Identify the predominant genetic variant in a specific gene to understand the genetic mechanisms underlying associated diseases&lt;/p&gt;
&lt;p&gt;• Answer other variant-related questions&lt;/p&gt;
</video:description>
            <video:publication_date>2025-02-27T10:13:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3459</video:duration>
            <video:category>HGMD</video:category>
            <video:tag>hgmd</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110248152/long-reads-analysis-with-qiagen-clc-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110248152</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/110248152/cb6cb0ff5615c9b5bac6131032a096eb/video_medium/long-reads-analysis-with-qiagen-clc-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/110248152/cb6cb0ff5615c9b5bac6131032a096eb/small/long-reads-analysis-with-qiagen-clc-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Long reads analysis with QIAGEN CLC Genomics Workbench</video:title>
            <video:description></video:description>
            <video:publication_date>2025-02-25T20:31:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4710</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110052161/mining-curated-knowledge-graphs-and-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110052161</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/110052161/cadb782bbc252d4c4018dabf33a852ae/video_medium/mining-curated-knowledge-graphs-and-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/110052161/cadb782bbc252d4c4018dabf33a852ae/small/mining-curated-knowledge-graphs-and-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Mining curated knowledge graphs and validating with experimental datasets to accelerate your drug target discovery</video:title>
            <video:description>&lt;p&gt;In an era of near-limitless public experimental data but little standardization, meaningful insights are lost to noise. Large collections of quality experimental data are essential for big-picture discoveries that stand up to scrutiny.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this webinar, you will learn how to feed your drug discovery programs by integrating connections mined from QIAGEN Biomedical Knowledge Base with deeply-curated disease datasets from QIAGEN OmicSoft Lands.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Combining unified 'omics datasets with contextual relationship evidence from our knowledge graph, we will address complex questions such as:&lt;/p&gt;
&lt;p&gt;• Which genes aren't expressed in normal tissue, yet are expressed in diseases of interest, based on experimental evidence?&lt;/p&gt;
&lt;p&gt;• Which of these proteins are cell surface proteins, with evidence for extracellular localization?&lt;/p&gt;
&lt;p&gt;• How are these proteins related directly or indirectly to disease pathways, and can these be connected to known drug targets?&lt;/p&gt;
&lt;p&gt;• Can we identify correlated biomarkers, mutation targets, clinical factors or other means of cohort selection?&lt;/p&gt;
</video:description>
            <video:publication_date>2025-02-18T14:33:01+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3609</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/110051790/biomarkers-and-drug-target</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=110051790</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/110051790/f3b7b98fd3f8aa686f4537c6c8c189d6/video_medium/biomarkers-and-drug-target-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/110051790/f3b7b98fd3f8aa686f4537c6c8c189d6/small/biomarkers-and-drug-target-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Biomarkers and drug target investigation using manually curated, unified ‘omics data</video:title>
            <video:description>&lt;p&gt;There is an almost incomprehensible amount of diverse, non-standardized ‘omics data deposited in different public sources such as GEO, SRA, TCGA, GTEx and others. Scientists who are interested in biomarker discovery and investigation using such data run into challenge of finding time and resources to locate studies of their interest and then making it usable by cleaning and standardizing these data. Accordingly, this training is focused on how scientists facing above challenges can use OmicSoft Lands which has manually curated, unified data which is flexibly accessed through both graphical user interface and APIs.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;• Easily and effectively locate RNA and protein expression data of interest (specific diseases, drug treatments, tissues etc.) using graphical user interface as well as OmicSoft Lands APIs&lt;/p&gt;
&lt;p&gt;• Conveniently generate charts comparing expression across different conditions of user interest (example disease vs normal, treated vs untreated, responders vs non responders and more) and customize them&lt;/p&gt;
&lt;p&gt;• Export results in both tabular and graphical formats&lt;/p&gt;
</video:description>
            <video:publication_date>2025-02-18T14:28:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5071</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109968039/new-feature-navigating-datasets-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109968039</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/109968039/bbdc11c217af977bfdfe4c97b3076d8d/video_medium/new-feature-navigating-datasets-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/109968039/bbdc11c217af977bfdfe4c97b3076d8d/small/new-feature-navigating-datasets-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>New feature-Navigating datasets with OmicSoft Explorer</video:title>
            <video:description>&lt;p&gt;&lt;/p&gt;
</video:description>
            <video:publication_date>2025-02-16T11:51:34+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>130</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109866108/workflow-construction-and-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109866108</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/109866108/43ea983d95cb57cf0da270ffe0cbebcc/video_medium/workflow-construction-and-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/109866108/43ea983d95cb57cf0da270ffe0cbebcc/small/workflow-construction-and-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Workflow construction and customization using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Recently we have received some requests from CLC users (as well as CLC RNA-seq certification participants) to go over workflow construction and customization using CLC Genomics Workbench. Accordingly, we are hosting this training. The term workflow refers to bioinformatics secondary analysis pipelines such as DNA-seq, RNA-seq, OTU clustering, de novo assembly and more offered by CLC Genomics Workbench.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this training, the trainer will go over&lt;/p&gt;
&lt;p&gt;• The basics of workflow construction&lt;/p&gt;
&lt;p&gt;• How to visualize different steps of the workflow and customize different settings&lt;/p&gt;
&lt;p&gt;• How to edit workflows (add/remove steps, lock/unlock parameters and more)&lt;/p&gt;
&lt;p&gt;• How to share workflows&lt;/p&gt;
&lt;p&gt;• How to install workflows&lt;/p&gt;
&lt;p&gt;• Other workflow related topics&lt;/p&gt;
</video:description>
            <video:publication_date>2025-02-13T14:50:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4844</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109277891/break-the-ceiling-elevate-your-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109277891</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/109277891/208e9be2914b0f9a3b9d3ee2a8a94534/video_medium/break-the-ceiling-elevate-your-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/109277891/208e9be2914b0f9a3b9d3ee2a8a94534/small/break-the-ceiling-elevate-your-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Break the ceiling Elevate your oncology NGS testing with expert-curated data</video:title>
            <video:description>&lt;p&gt;When the Precision Medicine Initiative was launched in 2015, it completely transformed patient care in oncology. Now, individual differences in genetics, environment and lifestyle, along with the tumor’s genetic makeup, are accounted for when determining the best course of treatment for a patient. But, as with any great methodology shift, several challenges impede its widespread implementation. From cancer complexities such as tumor heterogeneity to bottlenecks in next-generation sequencing (NGS) data analysis and interpretation, high-quality and reliable systems are essential for a clinical lab to apply precision medicine effectively.&lt;/p&gt;&lt;p style="text-align: start"&gt;In this webinar, discover how trusted data curated by highly experienced variant experts can elevate your lab’s clinical NGS testing pipeline. Get acquainted with COSMIC (Catalogue Of Somatic Mutations In Cancer) and HSMD (Human Somatic Mutation Database), their content and ways you can navigate them to retrieve various information.&lt;/p&gt;&lt;p style="text-align: start"&gt;Specifically, you will:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;Do a digital walkthrough of COSMIC’s and HSMD’s user interfaces&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Explore the available content, including curated literature, annotations (CADD, PhyloP and more) and data from other resources, such as ClinVar and dbSNP&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Examine use cases such as Chernobyl radiation and papillary thyroid cancer&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2025-01-28T13:40:20+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3924</video:duration>
            <video:category>COSMIC</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109277025/tissue-specific-target</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109277025</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/109277025/252588c7064b1cae4476b9a944958307/video_medium/tissue-specific-target-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/109277025/252588c7064b1cae4476b9a944958307/small/tissue-specific-target-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Tissue-specific target identification using QIAGEN OmicSoft's high-quality ‘omics data</video:title>
            <video:description></video:description>
            <video:publication_date>2025-01-28T13:29:57+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3441</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109127562/identifying-critical</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109127562</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/109127562/8937b62566d872d1f024b875ab7678b5/video_medium/identifying-critical-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/109127562/8937b62566d872d1f024b875ab7678b5/small/identifying-critical-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Identifying critical drug-to-disease pathways using high-quality curated literature and omics data</video:title>
            <video:description>&lt;p&gt;In the drug discovery pipeline, evaluating multiple pathways between a drug target and disease is crucial for identifying potential therapeutic approaches. By examining overlapping pathways between competing drugs, researchers can uncover novel drug targets, while isoform-specific findings may elucidate unexpected clinical trial outcomes. Filtering these pathways with real-world expression and proteomics data is essential to validate new hypotheses and avoid pursuing non-viable leads.&lt;/p&gt;
&lt;p&gt;Leveraging tools such as Neo4j, Python, and R, powered by curated databases like the QIAGEN Biomedical Knowledge Base and OmicSoft Lands, enables scientists to efficiently explore potential mechanisms of action during both target discovery and later stages of drug development.&lt;/p&gt;
&lt;p&gt;Attendees will learn to:&lt;/p&gt;
&lt;p&gt;• Apply pathfinding algorithms to navigate our comprehensive knowledge graph.&lt;/p&gt;
&lt;p&gt;• Qualify drug candidates using curated scRNA-Seq expression data and detailed cell type annotations.&lt;/p&gt;
&lt;p&gt;• Expand, filter, prioritize, and refine lists of biomarkers and drug targets through various advanced approaches.&lt;/p&gt;
</video:description>
            <video:publication_date>2025-01-23T13:42:16+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3713</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109127416/single-cell-rna-seq-cell-hashing-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109127416</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/109127416/e97dd378f6b47b44af9de992c1247309/video_medium/single-cell-rna-seq-cell-hashing-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/109127416/e97dd378f6b47b44af9de992c1247309/small/single-cell-rna-seq-cell-hashing-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single - cell RNA-seq, cell hashing and spatial transcriptomics</video:title>
            <video:description>&lt;p&gt;In this training, you will learn how to analyze and interpret your own single cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files.&lt;/p&gt;
&lt;p&gt;Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single cell RNA-seq data. Specifically, you will learn how to:&lt;/p&gt;
&lt;p&gt;• Import your raw FASTQ or processed cell-matrix files.&lt;/p&gt;
&lt;p&gt;• Use pre-configured but customizable pipelines/workflows for single cell RNA-seq data.&lt;/p&gt;
&lt;p&gt;• Generate high resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries.&lt;/p&gt;
&lt;p&gt;o Dimension reduction (UMAP, t-SNE) plots&lt;/p&gt;
&lt;p&gt;o Differential expression table for clusters, cell types, or combination of both&lt;/p&gt;
&lt;p&gt;o Heat map&lt;/p&gt;
&lt;p&gt;o Dot plots&lt;/p&gt;
&lt;p&gt;o Violin plots&lt;/p&gt;
&lt;p&gt;• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).&lt;/p&gt;
&lt;p&gt;• Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.&lt;/p&gt;
</video:description>
            <video:publication_date>2025-01-23T13:39:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5130</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109123165/discoveries-from-deeply-curated</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109123165</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/109123165/6727d98808abd8dee83e2003273c3b90/video_medium/discoveries-from-deeply-curated-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/109123165/6727d98808abd8dee83e2003273c3b90/small/discoveries-from-deeply-curated-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discoveries from deeply curated TCGA expression data using OmicSoft Studio</video:title>
            <video:description>&lt;p&gt;While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data sources such as The Cancer Genome Atlas (TCGA), such investigation is hindered by difficulties in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high-quality curated genomic repositories such as QIAGEN OmicSoft Lands immediately allows in-depth investigations across diverse data sources (GEO, CPTAC, TCGA, GTEx and more) to discover and validate candidate checkpoint inhibitor drug targets and biomarkers.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;You will discover how to:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;• Use sample IDs to create a custom dataset from the deeply curated TCGA collection available within OmicSoft Lands&lt;/p&gt;
&lt;p&gt;• Easily download count information for each sample across all genes and create a local or server project&lt;/p&gt;
&lt;p&gt;• Calculate differential expression using metadata of interest&lt;/p&gt;
&lt;p&gt;• Generate volcano, PCA/PCOA, heatmap, expression and other plots for scientific discoveries&lt;/p&gt;
&lt;p&gt;• Upload the data to Ingenuity Pathway Analysis for hypothesis generation&lt;/p&gt;
</video:description>
            <video:publication_date>2025-01-23T12:43:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5110</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109120759/sanger-sequencing-alignment-cloning-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109120759</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/109120759/f8037b313be7f9b0e16d9d22153e0c85/video_medium/sanger-sequencing-alignment-cloning-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/109120759/f8037b313be7f9b0e16d9d22153e0c85/small/sanger-sequencing-alignment-cloning-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Sanger sequencing, alignment, cloning, primer design and more using QIAGEN CLC Main and Genomics Workbench</video:title>
            <video:description>&lt;p&gt;This training will be relevant to both QIAGEN Main and Genomics workbench users and prospects who are interested in below analytics.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;• Alignment and tree construction&lt;/p&gt;
&lt;p&gt;• Sanger sequencing analysis&lt;/p&gt;
&lt;p&gt;• Cloning and primer design&lt;/p&gt;
&lt;p&gt;• Other molecular biology tools&lt;/p&gt;
</video:description>
            <video:publication_date>2025-01-23T12:32:51+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5224</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109117703/introduction-to-ipa-interpret-for</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109117703</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/109117703/0255882553ecb383f9c4693ce3ce2b4e/video_medium/introduction-to-ipa-interpret-for-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/109117703/0255882553ecb383f9c4693ce3ce2b4e/small/introduction-to-ipa-interpret-for-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Introduction to IPA Interpret for QIAGEN IPA</video:title>
            <video:description>&lt;p&gt;Now you can access and share the interpretative power of IPA in an easy-to-consume format – without installing any extra software.&lt;/p&gt;
&lt;p&gt;IPA Interpret identifies and summarizes the biological themes in your results with the help of AI, creating a shareable, interactive report.&lt;/p&gt;
&lt;p&gt;To learn more, visit &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/"&gt;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/"&gt;https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/&lt;/a&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
</video:description>
            <video:publication_date>2025-01-23T11:45:51+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>289</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109117537/introduction-to-ipa-interpret-for-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109117537</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/109117537/422dde63b8f9d0c443d362e237031699/video_medium/introduction-to-ipa-interpret-for-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/109117537/422dde63b8f9d0c443d362e237031699/small/introduction-to-ipa-interpret-for-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Introduction to IPA Interpret for QIAGEN IPA</video:title>
            <video:description>&lt;p&gt;Now you can access and share the interpretative power of IPA in an easy-to-consume format – without installing any extra software.&lt;/p&gt;
&lt;p&gt;IPA Interpret identifies and summarizes the biological themes in your results with the help of AI, creating a shareable, interactive report.&lt;/p&gt;
&lt;p&gt;To learn more, visit &lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/"&gt;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/"&gt;https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/&lt;/a&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
</video:description>
            <video:publication_date>2025-01-23T11:42:32+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>128</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/109117449/whats-new-in-qiagen-clc-genomics-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=109117449</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/109117449/65e4e51417ec479ee2222d720144a732/video_medium/whats-new-in-qiagen-clc-genomics-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/109117449/65e4e51417ec479ee2222d720144a732/small/whats-new-in-qiagen-clc-genomics-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>What's new in QIAGEN CLC Genomics version 25</video:title>
            <video:description></video:description>
            <video:publication_date>2025-01-23T11:40:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>545</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/107728856/investigating-biomarkers-with</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=107728856</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/107728856/4416cdfae38fc425b347a9c18a2dde50/video_medium/investigating-biomarkers-with-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/107728856/4416cdfae38fc425b347a9c18a2dde50/small/investigating-biomarkers-with-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating biomarkers with manually curated RNA-seq expression data</video:title>
            <video:description>&lt;p&gt;There is a wealth of RNA-seq expression data scattered across public sources like GEO, SRA, TCGA and GTEx, but scientists interested in biomarker discovery need to devote significant time and resources to finding, cleaning and standardizing relevant data.&lt;/p&gt;
&lt;p&gt;Start saving time with OmicSoft Lands, an accessible source of manually-curated, unified data available through both graphical user interface (GUI) and APIs.&lt;/p&gt;
&lt;p&gt;We’ll cover how to:&lt;/p&gt;
&lt;p&gt;- Easily find RNA-seq expression data of interest (specific diseases, drug treatments, tissues etc.) using the GUI and APIs&lt;/p&gt;
&lt;p&gt;- Compare expression across customized conditions of interest&lt;/p&gt;
&lt;p&gt;- Investigate the impact of normalization methods within and across projects&lt;/p&gt;
</video:description>
            <video:publication_date>2024-12-16T11:28:42+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5012</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft lands</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/107725448/understanding-regulator-effects-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=107725448</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/107725448/9645f377645eb397f5be6878862cb342/video_medium/understanding-regulator-effects-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/107725448/9645f377645eb397f5be6878862cb342/small/understanding-regulator-effects-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Understanding Regulator Effects and Interaction Networks in QIAGEN IPA</video:title>
            <video:description>&lt;p&gt;Not sure what to do with Regulator Effects and Interaction Networks in IPA? After you conduct an IPA Core Analysis on your ‘omic dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more), start using the Regulator Effects and Interaction Networks results to interpret your data and generate hypotheses.&lt;/p&gt;
&lt;p&gt;We’ll cover:&lt;/p&gt;
&lt;p&gt;- Regulator Effects: These causal and directional networks connect major regulators with downstream diseases and biological functions&lt;/p&gt;
&lt;p&gt;- Interaction Networks: These networks focus on the interconnectivity of molecules (genes, proteins, metabolites etc.) in your dataset&lt;/p&gt;
</video:description>
            <video:publication_date>2024-12-16T09:59:28+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5077</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/107724791/metabolome-genome-wide-association</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=107724791</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/107724791/398abf52906c7041e0fb1ea552ed162b/video_medium/metabolome-genome-wide-association-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/107724791/398abf52906c7041e0fb1ea552ed162b/small/metabolome-genome-wide-association-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Metabolome Genome-Wide Association Study (mGWAS) with the QIAGEN BKBs</video:title>
            <video:description></video:description>
            <video:publication_date>2024-12-16T09:35:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3271</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/107724572/get-started-with-qiagen-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=107724572</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/107724572/2f9177e7b7be68dd7c6141a562fac10f/video_medium/get-started-with-qiagen-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/107724572/2f9177e7b7be68dd7c6141a562fac10f/small/get-started-with-qiagen-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Get started with QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Start out strong with QIAGEN CLC Genomics Workbench and follow along with our live demo of its popular features.&lt;/p&gt;
&lt;p&gt;We’ll cover how to:&lt;/p&gt;
&lt;p&gt;Install and set up your Workbench&lt;/p&gt;
&lt;p&gt;Add plugins like Biomedical Genomics Analysis plugin&lt;/p&gt;
&lt;p&gt;Manage data with Reference Data Management&lt;/p&gt;
&lt;p&gt;Work with reads and using tools and workflows to batch process your data&lt;/p&gt;
&lt;p&gt;Visualize data with Track List and Genome Browser&lt;/p&gt;
&lt;p&gt;Export data and share workflows&lt;/p&gt;
&lt;p&gt;If you have any questions, we’ll answer them during the webinar.&lt;/p&gt;
</video:description>
            <video:publication_date>2024-12-16T09:31:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3181</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/107543206/qiagen-public-health-virtual</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=107543206</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/107543206/9b26607cc40ab99e00db79e06d05d024/video_medium/qiagen-public-health-virtual-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/107543206/9b26607cc40ab99e00db79e06d05d024/small/qiagen-public-health-virtual-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Public Health Virtual Symposium</video:title>
            <video:description>&lt;p&gt;This event will feature four public health experts highlighting exciting collaborations within the PHL space across various workflows, including Antimicrobial Resistance Tracking, Vector-borne Disease Monitoring, Waterborne Pathogen Detection, and PulseNet Extraction/Sequencing. Come learn more about pathogen detection from the unseen heroes of public health!&lt;/p&gt;
&lt;p&gt;The purpose of the QIAGEN Public Health Virtual Symposium is to inspire and equip public health professionals with the latest insights and innovative solutions to advance public health laboratory practices, fostering stronger collaborations and improving outcomes in public health initiatives.&lt;/p&gt;
&lt;p&gt;Speakers:&lt;/p&gt;
&lt;p&gt;Alex Rossheim, MS, Colorado Department of Public Health and Environment:&lt;/p&gt;
&lt;p&gt;From Extraction to Sequencing: Evaluating QIAGEN Workflows for PulseNet Pathogens&lt;/p&gt;
&lt;p&gt;Brenna McGruder, PhD, Florida Bureau of Public Health Labs - Jacksonville:&lt;/p&gt;
&lt;p&gt;Disaster Patrol: Utilizing Digital PCR to Monitor Dangerous Pathogens Across Storm Cycles in Hurricane-Affected Regions&lt;/p&gt;
&lt;p&gt;Becca Harrell, MLT, Tennessee Department of Health:&lt;/p&gt;
&lt;p&gt;Enhancing Microbial Detection: Boosting Precision, Accuracy, and Sensitivity with Digital PCR for Pathogen Detection&lt;/p&gt;
&lt;p&gt;Doris Di, PhD, Hawaii State Department of Health:&lt;/p&gt;
&lt;p&gt;Flushing the Threat: Tracking Antimicrobial Resistance in Hawaiian Communities through Wastewater Based Epidemiology&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
</video:description>
            <video:publication_date>2024-12-10T09:49:51+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6917</video:duration>
            <video:category>Clinical Summits</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/107534985/detecting-copy-number-variants-with</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=107534985</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/107534985/c6bd0b9a30daff1011ac8b3ac17791bb/video_medium/detecting-copy-number-variants-with-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/107534985/c6bd0b9a30daff1011ac8b3ac17791bb/small/detecting-copy-number-variants-with-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Detecting copy number variants with QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;Learn how to use the copy number variant (CNV) detection tool in the QIAGEN CLC Genomics Workbench to examine your exome and targeted resequencing data.&lt;/p&gt;
&lt;p&gt;Our live demo will cover:&lt;/p&gt;
&lt;p&gt;• Using the CNV detection algorithm for exome and targeted resequencing data&lt;/p&gt;
&lt;p&gt;• Adding the CNV detection tool to workflows&lt;/p&gt;
&lt;p&gt;• Visualizing your results&lt;/p&gt;
</video:description>
            <video:publication_date>2024-12-10T00:28:58+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3400</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/107524512/qiagen-bioinformatics-public-health-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=107524512</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/107524512/8394887dcee713e940a5e8f58159bef8/video_medium/qiagen-bioinformatics-public-health-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/107524512/8394887dcee713e940a5e8f58159bef8/small/qiagen-bioinformatics-public-health-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Bioinformatics Public Health Summit</video:title>
            <video:description>&lt;p&gt;Join us for the second edition of QIAGEN’s Bioinformatics Public Health Summit. This virtual event will focus on applications and tools for NGS data analysis in the public health laboratory setting. You’ll be hearing about analyses related to: enteric diseases, SARS-CoV-2, mpox, TB, PFAS, wastewater testing, and anti-microbial resistance from the QIAGEN team as well as guest speakers.&lt;/p&gt;
&lt;p&gt;Who should join? Public health professionals, including lab scientists, epidemiologists, and infectious disease specialists interested in NGS data analysis.&lt;/p&gt;
</video:description>
            <video:publication_date>2024-12-09T17:24:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5230</video:duration>
            <video:category>Clinical Summits</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/107470267/ipa-rap-portal-demo</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=107470267</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/107470267/2569938027e5b81538d068b8599e1723/video_medium/ipa-rap-portal-demo-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/107470267/2569938027e5b81538d068b8599e1723/small/ipa-rap-portal-demo-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA RAP Portal DEMO</video:title>
            <video:description>&lt;p&gt;Take the stress out of data analysis and fast-track your path to gene expression insights with our RNA-seq Analysis Portal. Go from FASTQ files to IPA’s pathway analysis insights in hours instead of days.Our portal supports analyses for 20 species using proven, published algorithms. The RNA-seq Analysis Portal is compatible with QIAseq and other major RNA library kits, so you can process FASTQ files from SRA, BaseSpace or your local repository.After processing and QC, you can push data directly to your IPA account* for biological interpretation.&lt;/p&gt;
</video:description>
            <video:publication_date>2024-12-05T14:59:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>231</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/106956158/discovering-and-investigating-gene</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=106956158</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/106956158/24104be620a81846429621e95c90c5fc/video_medium/discovering-and-investigating-gene-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/106956158/24104be620a81846429621e95c90c5fc/small/discovering-and-investigating-gene-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discovering and investigating gene signatures for biologists and data scientists</video:title>
            <video:description>&lt;p&gt;Our high-quality, comprehensive databases are designed for biologists, wet lab scientists, and data scientists alike. Whether you prefer a seamless graphical user interface (GUI) or prefer the flexibility of programmatic access (APIs), our solutions make complex data analysis easy and accessible.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Explore the most effective ways to access our databases, including:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;1. QIAGEN Ingenuity Pathway Analysis: Analyze responder vs. non-responder data and export genes from activated or inhibited pathways&lt;/p&gt;
&lt;p&gt;2. OmicSoft Studio: Identify significant tumor vs. normal differentially expressed genes (DEGs) with proteomics or transcriptomics&lt;/p&gt;
&lt;p&gt;3. Biomedical KB and Neo4j: Identify connected pathways, perform page rank analytics, remove top toxicology hits and show top remaining genes activated or inhibited by known drugs&lt;/p&gt;
&lt;p&gt;4. OmicSoft Lands APIs: Perform gene set enrichment analysis to identify other diseases&lt;/p&gt;
</video:description>
            <video:publication_date>2024-11-26T09:53:01+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4036</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/106711896/new-feature-insights-with-ipa</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=106711896</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/106711896/ea5b314625ab269a06396781daf32bdf/video_medium/new-feature-insights-with-ipa-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/106711896/ea5b314625ab269a06396781daf32bdf/small/new-feature-insights-with-ipa-thumbnail.jpg</video:thumbnail_loc>
            <video:title>New feature Insights with IPA Interpret</video:title>
            <video:description>&lt;p&gt;Unlock actionable insights in your biological data by streamlining your data interpretation with IPA Interpret.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The newest feature of your trusted pathway analysis software, QIAGEN IPA, includes:&lt;/p&gt;
&lt;p&gt;• Content powered by IPA's extensive, manually curated knowledge base and aided by AI&lt;/p&gt;
&lt;p&gt;• Easy-to-share reports and updated visualizations to facilitate collaboration and dissemination of research findings&lt;/p&gt;
&lt;p&gt;• Easy access from your favorite web browser, no additional software or hardware needed&lt;/p&gt;
</video:description>
            <video:publication_date>2024-11-22T12:51:40+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3143</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/106703521/new-feature-navigating-datasets</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=106703521</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/106703521/4ad8f837f1030db01a20e8e9fc9cb8d9/video_medium/new-feature-navigating-datasets-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/106703521/4ad8f837f1030db01a20e8e9fc9cb8d9/small/new-feature-navigating-datasets-thumbnail.jpg</video:thumbnail_loc>
            <video:title>New feature Navigating datasets with OmicSoft Explorer</video:title>
            <video:description>&lt;p&gt;Meet OmicSoft Explorer, a new feature included with your QIAGEN IPA/OmicSoft subscriptions. See how you can find ‘omics datasets to inform your next experiments or support your grant proposals.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;With OmicSoft Explorer, you can:&lt;/p&gt;
&lt;p&gt;• Search over 10,000 disease-relevant datasets for clinical, in vitro, normal tissue and more&lt;/p&gt;
&lt;p&gt;• Reveal top differentially expressed genes from over 200,000 experiments&lt;/p&gt;
&lt;p&gt;• Discover experiments that include your gene of interest&lt;/p&gt;
&lt;p&gt;• Explore underlying biology through IPA Interpret&lt;/p&gt;
</video:description>
            <video:publication_date>2024-11-22T11:41:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3418</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/106618696/investigating-genomic-variants-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=106618696</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/106618696/077fbf9fc812ad88401122cdbe7b9ba1/video_medium/investigating-genomic-variants-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/106618696/077fbf9fc812ad88401122cdbe7b9ba1/small/investigating-genomic-variants-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating genomic variants using QIAGEN CLC Genomics Workbench, QCI Interpret-Translational (QCII-T), and Ingenuity Pathway Analysis (IPA) </video:title>
            <video:description>&lt;p&gt;Discovery of new genes implicated in hereditary diseases or cancer progression is challenging and advancing rapidly with an increase in the amount of cohort data to analyze from next generation sequencing (NGS) data to associations between gene variants and diseases, and finally to biological mechanisms of these gene variants. Combining QIAGEN CLC Genomics Workbench, QCII-T, and IPA, scientists can analyze sequencing data obtained from a variety of NGS technologies, annotate gene variants using the world’s most comprehensive and up-to-date curated scientific evidence, and find biological connections in gene variants with manually curated scientific findings. Get valuable and reliable insights for your research project and speed up your discoveries by using a streamlined NGS analysis workflow.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this webinar, attendees will have the opportunity to:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;1. Learn how to import whole genome or exome sequencing data into QIAGEN CLC Genomics Workbench and use the ultra-fast LightSpeed Module that delivers end-to-end NGS FASTQ to VCF pipeline;&lt;/p&gt;
&lt;p&gt;2. Explore capabilities in QCII-T which can enable scientists to accelerate discoveries from hereditary or tumor cohort analyses to find associations between gene variants and diseases;&lt;/p&gt;
&lt;p&gt;3. Learn how to use IPA and its manually curated content among other integrated scientific evidence to uncover novel biological mechanisms underlying these gene variants.&lt;/p&gt;
</video:description>
            <video:publication_date>2024-11-20T22:04:13+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5108</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/106585010/how-to-install-plugins-in-a-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=106585010</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/106585010/9e67fa965ce9e0348e6054fe92a02354/video_medium/how-to-install-plugins-in-a-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/106585010/9e67fa965ce9e0348e6054fe92a02354/small/how-to-install-plugins-in-a-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to install plugins in a CLC Workbench?</video:title>
            <video:description></video:description>
            <video:publication_date>2024-11-20T10:30:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>307</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/106547105/ipa-interpret</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=106547105</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/106547105/e66a261d92b7ff68cc5897a1bd6687b0/video_medium/ipa-interpret-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/106547105/e66a261d92b7ff68cc5897a1bd6687b0/small/ipa-interpret-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Interpret</video:title>
            <video:description>&lt;p&gt;QIAGEN IPA let’s you Analyze, Compare, and Contextualize your data. Now with IPA Interpret leverage the power of AI and get a streamlined report on your differential expression analyses with key interpretations. &amp;nbsp;Share your report with others and explore the updated graphics capabilities. &amp;nbsp;Learn more:&amp;nbsp;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/"&gt;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/"&gt;https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/qiagen-ipa-interpret/&lt;/a&gt;&lt;/a&gt;&lt;/p&gt;
</video:description>
            <video:publication_date>2024-11-19T11:24:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>53</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/106538351/checkpoint-inhibitor-and-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=106538351</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/106538351/8e89bea94bddd65b7c18ca8f8bf16b4d/video_medium/checkpoint-inhibitor-and-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/106538351/8e89bea94bddd65b7c18ca8f8bf16b4d/small/checkpoint-inhibitor-and-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Checkpoint inhibitor and immuno-oncology investigation leveraging curated high-quality public omics data</video:title>
            <video:description>&lt;p&gt;While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data, such investigation is hindered by the difficulty in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high-quality curated genomic repositories such as QIAGEN OmicSoft Lands immediately allows in-depth investigations across diverse data sources (GEO, CPTAC, TCGA, GTEx and more) to discover and validate candidate checkpoint inhibitor drug targets and biomarkers.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;You will learn how to do the following in the graphical user interface and through APIs:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;- Easily identify relevant samples using extensive manually curated clinical metadata&lt;/p&gt;
&lt;p&gt;- Visualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns using expression data (RNA-seq, scRNA-seq, proteomics etc.)&lt;/p&gt;
&lt;p&gt;- Reveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue&lt;/p&gt;
</video:description>
            <video:publication_date>2024-11-19T07:42:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4052</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/106535996/discover-biomarkers-validate</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=106535996</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/106535996/ec884e351d0834ece4fb5bfb0560a872/video_medium/discover-biomarkers-validate-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/106535996/ec884e351d0834ece4fb5bfb0560a872/small/discover-biomarkers-validate-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discover biomarkers, validate targets and identify variants with QDI software</video:title>
            <video:description>&lt;p&gt;Learn how to leverage solutions from QIAGEN Digital Insights to discover biomarkers, validate targets, and identify variants.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Attendees will learn to:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;1. Locate public studies of interest using OmicSoft DiseaseLand&lt;/p&gt;
&lt;p&gt;2. Investigate expression of genes of interest across different treatments, disease states, etc.&lt;/p&gt;
&lt;p&gt;3. Identify variants of interest for candidate biomarkers and targets using Human Gene Mutation Database (HGMD)&lt;/p&gt;
&lt;p&gt;4. Leverage the QIAGEN Knowledgebase in Ingenuity Pathway Analysis (IPA) to explore and extend findings from OmicSoft DiseaseLand and HGMD&lt;/p&gt;
&lt;p&gt;5. Access data from OmicSoft, HGMD and IPA in ways that are helpful for data scientists&lt;/p&gt;
</video:description>
            <video:publication_date>2024-11-19T05:43:06+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5369</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>hgmd</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105715083/long-reads-analysis-with-qiagen-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105715083</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/105715083/3ed3b04295a04b99343878e5cb5395db/video_medium/long-reads-analysis-with-qiagen-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/105715083/3ed3b04295a04b99343878e5cb5395db/small/long-reads-analysis-with-qiagen-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Long reads analysis with QIAGEN CLC Genomics Workbench</video:title>
            <video:description>&lt;p&gt;This webinar will introduce users to the long read support plugin for Oxford Nanopore and PacBio sequencing reads in QIAGEN CLC Genomics Workbench.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Participants will learn how to:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;• Download and install needed plugins&lt;/p&gt;
&lt;p&gt;• Import data required for the analysis&lt;/p&gt;
&lt;p&gt;• Perform long read de novo assembly&lt;/p&gt;
&lt;p&gt;• Map reads to a reference and visualize an assembly&lt;/p&gt;
&lt;p&gt;• Use BLAST to investigate the contigs&lt;/p&gt;
&lt;p&gt;• Use additional long read tools: polish with short reads, structural variant calling&lt;/p&gt;
&lt;p&gt;• Use genome finishing tools: analyze and assemble contigs&lt;/p&gt;
&lt;p&gt;• Use analytical tools: RNA-seq analysis for long reads, classify long read amplicons for metagenomics&lt;/p&gt;
</video:description>
            <video:publication_date>2024-10-25T12:31:06+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5244</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105705742/hgmd-pro-unleashed-interpret-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105705742</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/105705742/78a87c6e1241b0637942596b5f098cdf/video_medium/hgmd-pro-unleashed-interpret-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/105705742/78a87c6e1241b0637942596b5f098cdf/small/hgmd-pro-unleashed-interpret-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>HGMD Pro unleashed Interpret genetic variants better, faster - Session 2</video:title>
            <video:description></video:description>
            <video:publication_date>2024-10-25T09:24:10+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3437</video:duration>
            <video:category>HGMD</video:category>
            <video:tag>hgmd</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105539426/introducing-the-rna-seq-analysis-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105539426</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/105539426/364ab7355b2c60fe7717dfe5d1dc6988/video_medium/introducing-the-rna-seq-analysis-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/105539426/364ab7355b2c60fe7717dfe5d1dc6988/small/introducing-the-rna-seq-analysis-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Introducing the RNA-seq Analysis Portal in QIAGEN IPA</video:title>
            <video:description>&lt;p&gt;Get to know the RNA-seq Analysis Portal, a cloud-based platform you can access from within QIAGEN Ingenuity Pathway Analysis (IPA) that helps you analyze your RNA-seq expression data. Its predefined analysis pipelines let you calculate expression levels and identify differential expression and significant pathways, regulators, diseases and functions in just a few steps. The graphical views and interactive plots enable seamless exploration and refinement of your RNA-seq analysis results.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this training you will learn how to&lt;/p&gt;
&lt;p&gt;• Upload your own expression data (example raw FASTQ files) or start with a public dataset&lt;/p&gt;
&lt;p&gt;• Perform RNA-seq analysis and generate outputs such as heatmap, differential expression table, volcano plot and more&lt;/p&gt;
&lt;p&gt;• Export graphical and tabular results&lt;/p&gt;
</video:description>
            <video:publication_date>2024-10-21T12:48:06+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4735</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105530717/hgmd-pro-unleashed-interpret-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105530717</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/105530717/6bc9b025fddc579b8d417a0b2749e80b/video_medium/hgmd-pro-unleashed-interpret-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/105530717/6bc9b025fddc579b8d417a0b2749e80b/small/hgmd-pro-unleashed-interpret-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title> HGMD Pro unleashed: Interpret genetic variants better, faster</video:title>
            <video:description>&lt;p&gt;With the increasing accessibility and affordability of next-generation sequencing (NGS), the copious amounts of data from NGS tests and experiments seem endless. The bottleneck has since shifted to interpreting these results: accurate results lessen manual review, while short turnaround times equate to timely diagnoses and patient care.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Back by popular demand, we’ve designed this training to help you master the skills needed to get the most out of Human Gene Mutation Database (HGMD) Professional and its high-quality genetic variant data. Become more proficient at:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;&lt;p&gt;Distinguishing clinically significant variants from VUS&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Using batch search vs. advanced search&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Curating genes using HGMD Pro’s accurate, up-to-date information&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Identifying the predominant genetic variant in a specific gene to understand the genetic mechanisms underlying associated diseases&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Answering other variant-related questions&lt;/p&gt;
&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2024-10-21T10:42:12+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3501</video:duration>
            <video:category>HGMD</video:category>
            <video:tag>hgmd</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105432985/gene-therapy-applications-through</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105432985</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/105432985/2b7fb834913368e5eeaab86de37f88ae/video_medium/gene-therapy-applications-through-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/105432985/2b7fb834913368e5eeaab86de37f88ae/small/gene-therapy-applications-through-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Gene therapy applications through knowledge graph explorations</video:title>
            <video:description>&lt;p&gt;In gene therapy space, there is great interest in discovering new gene editing targets as well as identifying new indications for known targets though exploration of vector biology and studying biological mechanism underlying disease pathology. In this webinar, we will focus on how recently introduced Biomedical KB-AI can enable and accelerate such investigation. QIAGEN Biomedical KB-AI uses generative AI to identify novel relationships and patterns that may be missed by traditional methods and can provide a more comprehensive view of the biological landscape.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Participants will learn about&lt;/p&gt;
&lt;p&gt;• Biomedical KB-AI and its structure&lt;/p&gt;
&lt;p&gt;• How to easily search and filter results for vector system of interest through subgraph&lt;/p&gt;
&lt;p&gt;• How to thoroughly interrogate the subgraph to look for similarity between diseases and targets that can be targeted by vectors of interest&lt;/p&gt;
&lt;p&gt;• How to effectively use knowledge graph for drug repurposing applications&lt;/p&gt;
</video:description>
            <video:publication_date>2024-10-17T13:27:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3246</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105291292/streamline-your-hereditary-diseases</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105291292</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/105291292/8cba3c25ea3e48572322cd811194ed70/video_medium/streamline-your-hereditary-diseases-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/105291292/8cba3c25ea3e48572322cd811194ed70/small/streamline-your-hereditary-diseases-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Streamline your hereditary diseases interpretation workflow with QCI Interpret</video:title>
            <video:description></video:description>
            <video:publication_date>2024-10-11T16:11:15+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2717</video:duration>
            <video:category>QCI Interpret for Hereditary</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105212980/how-to-triage-drug-targets-with</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105212980</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/105212980/c42d953d804ab3589b061f5b092ae899/video_medium/how-to-triage-drug-targets-with-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/105212980/c42d953d804ab3589b061f5b092ae899/small/how-to-triage-drug-targets-with-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to triage drug targets with curated, causal relationships data </video:title>
            <video:description>&lt;p&gt;In the rapidly evolving landscape of drug discovery, the ability to integrate high-quality research findings into knowledge graphs is paramount. For over twenty years, our scientists have curated the relationships between genes, drugs, diseases, and pathways to power Ingenuity Pathway Analysis. Now, these data are available via our QIAGEN Biomedical KB-HD, which provides direct access to flat files, SQL APIs in Python and R, and the ability to export knowledge graph objects for analysis in Neo4j. In this talk, we will explore how to use this rich data resource to:&lt;/p&gt;
&lt;p&gt;• aggregate relevant findings across our comprehensive disease and gene ontologies&lt;/p&gt;
&lt;p&gt;• cross-reference clinical trial results to focus your research on genes upstream or downstream of known drug targets&lt;/p&gt;
&lt;p&gt;• filter causal relationships by the directionality of observed effects&lt;/p&gt;
&lt;p&gt;• combine the above methods to accelerate the drug discovery process&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;By demonstrating the underlying database live, we will show how the high-quality curated biomedical knowledge bases can be rapidly deployed, as well as how the underlying schema and ontologies could serve as a scaffold for integrating your own research. Overall, this demonstration will show the critical role of knowledge graphs in finding viable drug targets while avoiding potential adverse outcomes and toxicity.&lt;/p&gt;
</video:description>
            <video:publication_date>2024-10-09T13:00:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3663</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105175133/rna-seq-data-analysis-and-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105175133</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/105175133/34047fe6534db49d41391bf9fa96a30f/video_medium/rna-seq-data-analysis-and-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/105175133/34047fe6534db49d41391bf9fa96a30f/small/rna-seq-data-analysis-and-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>RNA-seq data analysis and interpretation with Sankey plot update</video:title>
            <video:description>&lt;p&gt;For RNA-seq data, you will learn how to:&lt;/p&gt;
&lt;p&gt;• Import FASTQ files, cell matrix files and metadata and how to download references&lt;/p&gt;
&lt;p&gt;• Map reads to a reference genome and generate gene and transcript counts and QC reports displaying % mapped reads, knee plots, etc.&lt;/p&gt;
&lt;p&gt;• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, sankey plot and others&lt;/p&gt;
&lt;p&gt;• Easily customize RNA-seq workflows&lt;/p&gt;
&lt;p&gt;• Export publication-quality graphics, tables and reports&lt;/p&gt;
&lt;p&gt;• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways&lt;/p&gt;
</video:description>
            <video:publication_date>2024-10-08T11:21:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5409</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/105156823/qci-interpret-for-hereditary-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=105156823</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/105156823/256c2323b3c61c5259666586be61b8be/video_medium/qci-interpret-for-hereditary-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/105156823/256c2323b3c61c5259666586be61b8be/small/qci-interpret-for-hereditary-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QCI Interpret for Hereditary Disorders (QCI Interpret)</video:title>
            <video:description></video:description>
            <video:publication_date>2024-10-07T18:44:35+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4375</video:duration>
            <video:category>QCI Interpret for Hereditary</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/104958407/investigating-biomarkers-with-bulk</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=104958407</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/104958407/6f7344c23b3e62c362e7cbd1813564c9/video_medium/investigating-biomarkers-with-bulk-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/104958407/6f7344c23b3e62c362e7cbd1813564c9/small/investigating-biomarkers-with-bulk-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating biomarkers with bulk and single-cell RNA-seq expression data</video:title>
            <video:description>&lt;p&gt;QIAGEN Ingenuity Pathway Analysis (IPA) is designed to help you analyze and compare different types of 'omics data. In this webinar, we’ll compare bulk RNA-seq and single-cell RNA-seq data to identify common regulators/targets and see how those regulators/targets associate with your phenotype of interest. We will also use sample-level public data to validate gene expression of common genes in tissues and/or cell type of interest.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;You'll learn how to:&lt;/p&gt;
&lt;p&gt;• Generate a Comparison Analysis for bulk and single-cell RNA-seq&lt;/p&gt;
&lt;p&gt;• Identify significant common genes with the Compare feature&lt;/p&gt;
&lt;p&gt;• Build a custom network associating common genes to a phenotype&lt;/p&gt;
&lt;p&gt;• Examine sample- and cell-level expression in OmicSoft content&lt;/p&gt;
</video:description>
            <video:publication_date>2024-10-01T11:24:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5210</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/104672821/expanding-neoantigen-discovery-with</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=104672821</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/104672821/36bafde843ff2737d4383123ac12e9c7/video_medium/expanding-neoantigen-discovery-with-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/104672821/36bafde843ff2737d4383123ac12e9c7/small/expanding-neoantigen-discovery-with-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Expanding neoantigen discovery with COSMIC</video:title>
            <video:description>&lt;p&gt;Neoantigens are among the newest promising targets for cancer treatment. Unlike tumor-associated antigens, neoantigens are produced only by tumor cells. These unique molecular markers are highly visible to the immune system, making them ideal for personalized immunotherapies. They may also be able to predict both tumor survival prognosis and immune checkpoint blockade responses. Neoantigens are presented by human leukocyte antigen class I molecules (HLA-I) to T cells, providing an ideal pathway for detection by shotgun proteomics. To identify these elusive targets, scientists often rely on whole exome sequencing (WES)-derived data. However, this approach can miss rare or low-frequency mutations, especially in cancers with a low tumor mutational burden (TMB).&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The Catalogue of Somatic Mutations in Cancer (COSMIC) can bridge this gap by providing researchers with detailed information about somatic mutations in human cancer. Unlock the full potential of neoantigen-targeted therapies and enhance traditional approaches like WES with our comprehensive, expert-curated knowledge base.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this webinar, you’ll learn to:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;&lt;p&gt;Uncover and validate potential neoantigens with a recent peer-reviewed study that uses COSMIC mutation data from human hepatocellular carcinoma (HCC), a low-TMB cancer&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Apply the benchmarking results of neoantigen detection performance using HCC-specific variants from COSMIC or DepMap&lt;/p&gt;
&lt;/li&gt;&lt;li&gt;&lt;p&gt;Take full advantage of the breadth and accuracy of COSMIC data with downloaded content and other resources&lt;/p&gt;
&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2024-09-25T14:00:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3534</video:duration>
            <video:category>COSMIC</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/104565486/omicsoft-diseaseland-training</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=104565486</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/104565486/73f43a205cc0de03406cc0b17a7492e5/video_medium/omicsoft-diseaseland-training-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/104565486/73f43a205cc0de03406cc0b17a7492e5/small/omicsoft-diseaseland-training-thumbnail.jpg</video:thumbnail_loc>
            <video:title>OmicSoft DiseaseLand Training</video:title>
            <video:description>&lt;p&gt;This OmicSoft DiseaseLand training is designed to empower researchers to take advantage of data on non-oncological diseases (e.g., inflammatory, infectious, metabolic) as well as normal tissues (e.g., for toxicology or target safety assessment).&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;OmicSoft DiseaseLand is a repository that contains high-quality curated ‘omics data (e.g., RNA-seq, scRNA-seq, microarray) from diverse data sources (e.g., GEO, SRA, GTEx). This training will focus on leveraging public data, but users can also apply this knowledge towards their institutions' internal Lands ('omic data repositories). &lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;You learn to answer questions such as:&lt;/p&gt;
&lt;p&gt;• How is a gene (or a set of genes) expressed across different conditions (e.g., diseases, treatments, tissues, cell types)&lt;/p&gt;
&lt;p&gt;• How is the expression of a gene correlated with the expression of other genes?  &lt;/p&gt;
&lt;p&gt;• For a list of genes, can we generate a heatmap studying their expression across different conditions? &lt;/p&gt;
&lt;p&gt;• How do you get a list of biomarkers specific to a condition from public studies? &lt;/p&gt;
</video:description>
            <video:publication_date>2024-09-23T12:05:14+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3810</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/104284374/custom-patient-cohorts-making</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=104284374</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/104284374/45105f677b5cdb59caf90319d84478a4/video_medium/custom-patient-cohorts-making-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/104284374/45105f677b5cdb59caf90319d84478a4/small/custom-patient-cohorts-making-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Custom patient cohorts: Making discoveries with curated genomics data</video:title>
            <video:description>&lt;p&gt;Are you interested in exploring how you can evaluate phenotypic differences between custom cohorts? You can learn more about drug response, survival, co-expressing biomarkers, mutations and more based on gene expression.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this webinar, you'll learn how to investigate patient cohorts using high-quality curated genomic repositories like the QIAGEN OmicSoft Lands database. You'll be able to to perform in-depth investigations across diverse data-sources, including GEO datasets, TCGA and more.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this webinar, attendees will learn how to:&lt;/p&gt;
&lt;p&gt;• Easily locate studies of interest using OmicSoft Lands APIs&lt;/p&gt;
&lt;p&gt;• Generate custom cohorts based on expression levels of biomarker(s) of interest&lt;/p&gt;
&lt;p&gt;• Thoroughly investigate drug response and patient survival for these custom cohorts&lt;/p&gt;
&lt;p&gt;• Study variants/mutations present in these patient population and their association with disease pathology&lt;/p&gt;
</video:description>
            <video:publication_date>2024-09-10T14:23:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2986</video:duration>
            <video:category>Discovery and Research</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/104161534/ipa-rna-analysis-portal</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=104161534</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/104161534/33df030ea6c6cafcc0c55a809aafd782/video_medium/ipa-rna-analysis-portal-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/104161534/33df030ea6c6cafcc0c55a809aafd782/small/ipa-rna-analysis-portal-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA RNA-Analysis Portal</video:title>
            <video:description></video:description>
            <video:publication_date>2024-09-04T14:26:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>51</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/104058295/public-single-cell-expression-data</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=104058295</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/104058295/3a93d40b54dd8db9f2b5dcde24edcb51/video_medium/public-single-cell-expression-data-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/104058295/3a93d40b54dd8db9f2b5dcde24edcb51/small/public-single-cell-expression-data-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Public single-cell expression data made easy with QIAGEN IPA</video:title>
            <video:description>Many QIAGEN Ingenuity Pathway Analysis (IPA) users have expressed strong interest in taking advantage of public single-cell expression data. Such data is readily available and easily accessible in IPA. We are hosting a 1hr training focused on some common use cases related to this topic.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;You'll learn to:&lt;/p&gt;
&lt;p&gt;• Easily locate single-cell studies, samples or cell types of interest&lt;br&gt;
• Study pathways and networks pertaining to such projects to explore biological and cellular mechanisms&lt;br&gt;
• Investigate sample- and cell-level gene expression for biomarker investigation&lt;/p&gt;</video:description>
            <video:publication_date>2024-08-30T14:09:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3234</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/104022410/ipa-deep-dive-mirna-investigation-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=104022410</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/104022410/33daa5c86f9216cd422d15ab95d9a0ac/video_medium/ipa-deep-dive-mirna-investigation-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/104022410/33daa5c86f9216cd422d15ab95d9a0ac/small/ipa-deep-dive-mirna-investigation-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA deep dive miRNA investigation using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>In this 90-minute training session, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.&lt;/p&gt;
&lt;p&gt;Topics that will be covered include:&lt;/p&gt;
&lt;p&gt;• How to analyze miRNA-seq datasets alone or both miRNA and corresponding mRNA datasets together&lt;br /&gt;
• How to use QIAGEN IPA without a dataset, using miRNA IDs&lt;br /&gt;
• Introduction to databases and curated content specific to miRNA&lt;br /&gt;
• How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms</video:description>
            <video:publication_date>2024-08-29T01:38:41+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5010</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103991359/link-prediction-for-biomedical</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103991359</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/103991359/8b6a0dcae8564cb8901c6e2ad00e87ec/video_medium/link-prediction-for-biomedical-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/103991359/8b6a0dcae8564cb8901c6e2ad00e87ec/small/link-prediction-for-biomedical-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Link prediction for biomedical innovation and drug discovery</video:title>
            <video:description>Are you interested in biomedical knowledge graphs, but don’t know where to start? This webinar will show you how to repurpose drugs and uncover hidden insights with knowledge graphs. Start learning the fundamentals of training embeddings and how to predict links in knowledge graphs. You’ll be able to apply that knowledge towards your biomedical discoveries with advanced machine learning techniques.&lt;/p&gt;
&lt;p&gt;In this webinar, you will:&lt;/p&gt;
&lt;p&gt;• Meet QIAGEN Biomedical KB-HD, the manually curated knowledge base of over 24 million relationships that powers QIAGEN Ingenuity Pathway Analysis&lt;br /&gt;
• Learn about methods for graph link prediction&lt;br /&gt;
• Start applying link prediction to graph embeddings with PyKEEN&lt;br /&gt;
• See the results of applying link prediction towards indication expansion for a TLR7 inhibitor</video:description>
            <video:publication_date>2024-08-27T17:33:57+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3759</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103989373/omicsoft-studio-rna-seq-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103989373</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/103989373/390df760ade9382481bd0bec978c6e64/video_medium/omicsoft-studio-rna-seq-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/103989373/390df760ade9382481bd0bec978c6e64/small/omicsoft-studio-rna-seq-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>OmicSoft Studio RNA-seq and expression data analysis</video:title>
            <video:description>In this 90-minute training, attendees will learn how to use basic expression analysis (example RNA-seq) functionalities in QIAGEN OmicSoft studio and how that integrates with OncoLand, DiseaseLand and Single Cell Land. This webinar will focus on expression data analysis using QIAGEN OmicSoft Studio’s powerful analysis and visualization capabilities to explore your ‘omics data: &lt;br /&gt;
&lt;br /&gt;
• Accepted data formats (ex. fastq files, cell matrix files with raw or normalized counts, etc.)  &lt;br /&gt;
• Easily generating and flexibly customizing downstream outputs such as differential expression, heatmaps, counts, PCA/PCOA, etc. &lt;br /&gt;
• Exporting high-resolution graphics as well as raw or filtered tables&lt;/p&gt;
&lt;p&gt;To make most out of this training, please consider reviewing below ahead of time (not a requirement to attend the training though).&lt;br /&gt;
Step-by-step local analysis: &lt;a href="https://qiagen.showpad.com/share/4RlqPuRL3NbookmCybga2"&gt;https://qiagen.showpad.com/share/4RlqPuRL3NbookmCybga2&lt;/a&gt;&lt;br /&gt;
Step-by-step server analysis: &lt;a href="https://qiagen.showpad.com/share/xCnBr2LPphZOyNihxORqn"&gt;https://qiagen.showpad.com/share/xCnBr2LPphZOyNihxORqn&lt;/a&gt;</video:description>
            <video:publication_date>2024-08-27T16:06:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5296</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103963966/single-cell-rna-seq-cell-hashing-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103963966</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/103963966/36bd3b30b3dae13da5e73be98ccaf959/video_medium/single-cell-rna-seq-cell-hashing-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/103963966/36bd3b30b3dae13da5e73be98ccaf959/small/single-cell-rna-seq-cell-hashing-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single-cell RNA-seq, cell hashing, and spatial transcriptomics</video:title>
            <video:description>A slide illustrating some of the many result types/graphics you will be able to generate after this training. https://qiagen.showpad.com/share/jYTCDPNfz1SdIMPQPSPYS&lt;/p&gt;
&lt;p&gt;Analyze and interpret your own single-cell RNA-seq data using QIAGEN CLC Genomics Workbench, starting with either FASTQ or matrix files.&lt;/p&gt;
&lt;p&gt;Learn how to perform the different steps of secondary analysis on your single-cell RNA-seq data, such as:&lt;/p&gt;
&lt;p&gt;• Importing your raw FASTQ or processed cell-matrix files&lt;br /&gt;
• Using preconfigured but customizable pipelines/workflows for single-cell RNA-seq data.&lt;br /&gt;
• Generating high-resolution visuals and other files from your analysis, for publications and biopharmaceutical discoveries.&lt;br /&gt;
o Dimension reduction (UMAP, t-SNE) plots&lt;br /&gt;
o Differential expression tables for clusters, cell types or a combination of both&lt;br /&gt;
o Heat maps o Dot plots o Violin plots&lt;br /&gt;
• Using the “Create Cell Annotations from Hashtags” tool for cell hashing (e.g., CITE-seq).&lt;br /&gt;
• Applying spatial transcriptomic analysis, the latest feature in the single-cell RNA-seq module</video:description>
            <video:publication_date>2024-08-26T15:52:18+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>7026</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>rna-seq</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103862220/biomedical-knowledge-base-video</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103862220</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/103862220/b6e78928b93e1bd2633db3b39cedb608/video_medium/biomedical-knowledge-base-video-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/103862220/b6e78928b93e1bd2633db3b39cedb608/small/biomedical-knowledge-base-video-thumbnail.jpg</video:thumbnail_loc>
            <video:title>BioMedical Knowledge Base Video</video:title>
            <video:description></video:description>
            <video:publication_date>2024-08-23T14:21:41+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>60</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103805351/achieving-good-manufacturing</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103805351</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/103805351/75e262119f4fd1b6a6174eae7a58bf91/video_medium/achieving-good-manufacturing-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/103805351/75e262119f4fd1b6a6174eae7a58bf91/small/achieving-good-manufacturing-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Achieving Good Manufacturing Production (GxP) compliance with NGS</video:title>
            <video:description></video:description>
            <video:publication_date>2024-08-22T09:59:01+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1259</video:duration>
            <video:category>Discovery and Research</video:category>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103654274/qiagen-ingenuity-pathway-analysis-17</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103654274</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/103654274/fb9d300f0a380391e3599faf3d2bf973/video_medium/qiagen-ingenuity-pathway-analysis-17-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/103654274/fb9d300f0a380391e3599faf3d2bf973/small/qiagen-ingenuity-pathway-analysis-17-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Ingenuity Pathway Analysis (IPA) for grant writing and publications</video:title>
            <video:description>IPA is more than just an analysis program; it can also help you write grants and publications. IPA provides biological insights backed by expert-curated findings and thousands of pre-analyzed multi-omics datasets. You can search for existing knowledge on molecules of interest, build networks and review results from public studies. Or you can identify key pathways, regulatory molecules and functional changes in your results and see how your data relates to published studies.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
You'll learn how to:&lt;br /&gt;
• Search IPA’s vast collection of curated literature and omics data&lt;br /&gt;
• Relate molecules to phenotypes and functions&lt;br /&gt;
• Build your own networks and predict activity changes&lt;br /&gt;
• Explore a library of over 90,000 precomputed IPA analyses pulled from publicly available studies&lt;br /&gt;
• Format your dataset and set up an analysis&lt;br /&gt;
• Deeply interrogate key Canonical Pathways&lt;br /&gt;
• Predict regulators causing your observed expression changes&lt;br /&gt;
• Contextualize your results by comparing them to internal and public data&lt;br /&gt;
• Generate the necessary tables and figures for your manuscript</video:description>
            <video:publication_date>2024-08-18T01:40:16+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>7248</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103653632/leveraging-the-qiagen-knowledge-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103653632</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/103653632/8fe3499f7a8f82ccb57d3dd1f1dcd7d7/video_medium/leveraging-the-qiagen-knowledge-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/103653632/8fe3499f7a8f82ccb57d3dd1f1dcd7d7/small/leveraging-the-qiagen-knowledge-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Leveraging the QIAGEN Knowledge Graph and causal embeddings for insights into drug repurposing</video:title>
            <video:description>By connecting diverse entities and relationships, biomedical knowledge graphs hold the potential to uncover new insights from existing data. This webinar introduces a machine learning-based approach that utilizes causal interactions from the QIAGEN Knowledge Graph to predict novel drug-disease relationships and construct networks that capture relevant supporting evidence. We will present examples that showcase the application of this approach in the context of drug repurposing.</video:description>
            <video:publication_date>2024-08-17T23:35:41+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3510</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomedical knowledge base</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103653025/how-to-accelerate-your-clinical</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103653025</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/103653025/675290b7aa7d16b00cc46872b131d755/video_medium/how-to-accelerate-your-clinical-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/103653025/675290b7aa7d16b00cc46872b131d755/small/how-to-accelerate-your-clinical-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to accelerate your clinical reporting workflow for high-throughput oncology NGS testing</video:title>
            <video:description>As the demand for personalized cancer treatment grows, clinical diagnostic labs are facing unprecedented pressure to scale-up, increase test throughput, reduce turnaround times, and deliver comprehensive, oncologist-ready reports that match patients to the most appropriate therapies and clinical trials, in a time-efficient manner.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In this webinar, learn how QIAGEN Clinical Insight (QCI) Interpret for Oncology, the world’s leading variant interpretation and reporting software, can help your lab accelerate your clinical reporting workflow for high-throughput precision oncology NGS testing. The webinar will demonstrate the capabilities and features of QCI Interpret for Oncology through an example workflow for comprehensive genomic profiling. Key highlights include the software’s capability to expedite variant interpretation, dynamically compute pathogenicity and actionability based on the ACMG and AMP/ASCO/CAP guidelines for every variant in over 30,000 cancer types and subtypes with full transparency. Additionally learn how to leverage over 500,000 pre-formulated, oncologist-reviewed variant interpretation summaries to build customizable, oncologist-ready reports with up-to-date gene, variant, diagnostic, prognostic and therapeutic information.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Topics covered in this webinar:&lt;br /&gt;
- QCI Interpret for Oncology’s new performance and scalability enhancements, including bulk variant assessment, flagging of co-occurring variants, and a somatic reporting policy that allows users to set pathogenicity in a phenotype-agnostic manner.&lt;br /&gt;
- Learn how the panel- and sequencer-agnostic software can facilitate true scalability by rendering efficient test and process management capabilities, quick identification and comparison of tests from a patient for follow-up.&lt;br /&gt;
- How the software’s underlying knowledge base combines the unmatched accuracy and consistency of QIAGEN’s proprietary expert (MD/PhD) curation with the superior efficiency of machine curation (AI-powered) to identify all the literature, treatments, and clinical trials relevant to a patient’s tumor type with just one-click.</video:description>
            <video:publication_date>2024-08-17T22:22:39+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3045</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>qci interpret</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103637837/accelerating-drug-discovery-with-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103637837</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/103637837/d90fd0d0fae27c47495abde86d24554c/video_medium/accelerating-drug-discovery-with-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/103637837/d90fd0d0fae27c47495abde86d24554c/small/accelerating-drug-discovery-with-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Accelerating drug discovery with comprehensive curated knowledge</video:title>
            <video:description>In the rapidly evolving landscape of drug discovery, the ability to integrate high-quality research findings into knowledge graphs is paramount. For over twenty years, the Ingenuity team with QIAGEN has curated these nodes and relationships. Our QIAGEN Biomedical KB-HD make these data available for consumption outside of Ingenuity Pathway Analysis.&lt;/p&gt;
&lt;p&gt;In this talk, we will:&lt;/p&gt;
&lt;p&gt;• Explore how to query and leverage this curated data resource to accelerate the drug discovery process.&lt;br /&gt;
• Provide live demonstration of the underlying database Biomedical-HD&lt;br /&gt;
• Show how the Biomedical KB-HD can be rapidly deployed&lt;br /&gt;
• Show how the underlying schema and ontologies could serve as a scaffold for integrating your own research&lt;/p&gt;
&lt;p&gt;Overall, this demonstration will show the critical role of knowledge graphs in predicting adverse outcomes and toxicity, highlighting their transformative potential in steering pharmaceutical research and development.&lt;/p&gt;
&lt;p&gt;Learn more about Biomedical KB: &lt;a href="https://qiagen.showpad.com/share/GmpIJaN5kRfsHRD5WPwgc"&gt;https://qiagen.showpad.com/share/GmpIJaN5kRfsHRD5WPwgc&lt;/a&gt;</video:description>
            <video:publication_date>2024-08-16T16:25:40+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3342</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>Biomedical</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103636605/leveraging-high-quality-public</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103636605</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/103636605/968c2ae743824a28344b0eecff268d5f/video_medium/leveraging-high-quality-public-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/103636605/968c2ae743824a28344b0eecff268d5f/small/leveraging-high-quality-public-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Leveraging high-quality public proteomics data for biomarker and drug target investigation through OmicSoft Lands APIs</video:title>
            <video:description>Per feedback from recent trainings, we are hosting a training focused on biomarkers and drug target investigation through effectively utilizing high quality curated public proteomics expression data. OmicSoft Lands database is a high-quality curated repository containing gene and protein expression data derived from a variety of sources such as CPTAC, TCGA, HPA, GTEx and more.&lt;/p&gt;
&lt;p&gt;Using OmicSoft Lands APIs, you will learn how to:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
• Easily locate proteomics samples and projects (studies) of interest (example can we locate proteomics data related to the breast cancer or specific drug treatment?)&lt;br /&gt;
• Check expression of a protein of interest (drug target or biomarkers) across different experimental groups or conditions (diseases, treatments, cell types and more) as well as across samples coming from different collections (example is a protein upregulated in breast cancer samples from TCGA and CPTAC but downregulated in normal samples from TCGA, GTEx and HPA)&lt;br /&gt;
• Correlate protein levels with RNA-seq expression data for the same samples, and compare differential expression results from proteomic and RNA-seq results&lt;br /&gt;
• Investigate whether there is correlation in expression between two (or a group/list of proteins) across different experimental groups/conditions (example do two proteins of interest show correlation in expression in TNBC samples? Is protein and gene expression correlated as well?)&lt;br /&gt;
• Derive a protein signature from conditions of interest (example are a group of protein upregulated in disease condition but downregulated upon drug treatment)&lt;br /&gt;
• Perform Geneset Enrichment for a group of proteins</video:description>
            <video:publication_date>2024-08-16T15:17:05+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3450</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103634342/the-implementation-journey-of</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103634342</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/103634342/d362dcd4d811b73eb5b0ec49f83ba161/video_medium/the-implementation-journey-of-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/103634342/d362dcd4d811b73eb5b0ec49f83ba161/small/the-implementation-journey-of-thumbnail.jpg</video:thumbnail_loc>
            <video:title>The Implementation Journey of Comprehensive Cancer Genome Profiling and Liquid Biopsy in South East Asia</video:title>
            <video:description>This session traces the evolution of comprehensive cancer genome profiling (CGP) and liquid biopsy techniques in South East Asia, discussing the initial hurdles and ultimate triumphs. It details how interventions like international collaborations, technological enhancements, and policy support have enabled these advanced diagnostic tools' successful adoption. Highlighting the critical role of liquid biopsy in early cancer detection and monitoring treatment efficacy, the study underscores the importance of continued genomics research and investment for improved cancer care globally. It illustrates that, despite significant challenges, integrating advanced genomic profiling into oncology practice is attainable and transformative.</video:description>
            <video:publication_date>2024-08-16T13:29:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3778</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>genome</video:tag>
            <video:tag>qci</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103631782/sharing-your-analysis-results-with</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103631782</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/103631782/706b25d0c4c40b136b682a58dafd3160/video_medium/sharing-your-analysis-results-with-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/103631782/706b25d0c4c40b136b682a58dafd3160/small/sharing-your-analysis-results-with-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Sharing your analysis results with others in QIAGEN IPA</video:title>
            <video:description>QIAGEN Ingenuity Pathway Analysis (IPA) is a powerful tool that allows you to upload and analyze your 'omics data to identify key biological pathways and mechanisms and regulatory molecules. But did you know that you can share your analysis results with others? In this 60-minute webinar, we’ll explore the Share Manager and the Collaboration Workspace in IPA and go over the many ways you can share your analysis results with others or how they can share their results with you.&lt;/p&gt;
&lt;p&gt;Attendees will learn how to:&lt;/p&gt;
&lt;p&gt;• Share datasets and analysis with other IPA users&lt;br /&gt;
• Use the Share with me feature&lt;br /&gt;
• Email interactive pathways to other IPA users&lt;br /&gt;
• Use a Collaboration Workspace (CWS)</video:description>
            <video:publication_date>2024-08-16T11:34:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3107</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>Ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103631291/drug-moa-and-disease-pathology</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103631291</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/103631291/8b98e5df1159a37af660e4f1d39806e6/video_medium/drug-moa-and-disease-pathology-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/103631291/8b98e5df1159a37af660e4f1d39806e6/small/drug-moa-and-disease-pathology-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Drug MOA and disease pathology investigation using QIAGEN Biomedical KB-HD</video:title>
            <video:description>Many research groups worldwide are investing significant time and resources in studying drug mechanism of action (MOA) and its impact on disease pathology. One critical challenge they encounter is access to a centralized source that contains high-quality, manually curated literature knowledge. To meet this need, we launched QIAGEN Biomedical KB-HD, the expert-curated database backing QIAGEN Ingenuity Pathway Analysis (IPA), to enable the scientific community and help accelerate drug discovery.&lt;/p&gt;
&lt;p&gt;You will learn to use Biomedical KB-HD to:&lt;/p&gt;
&lt;p&gt;• Easily pull up relevant literature findings for a drug of interest&lt;br /&gt;
• Generate a novel mechanism of action (MOA) for this drug and its effect on the disease indication of interest&lt;br /&gt;
• Identify new applications for this drug (drug repurposing)&lt;br /&gt;
• Investigate mutational impact on drug MOA</video:description>
            <video:publication_date>2024-08-16T11:06:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3526</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103423217/discovery-from-sample-level-public</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103423217</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/103423217/a8881e3a0d10a8ae60852677117f7a17/video_medium/discovery-from-sample-level-public-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/103423217/a8881e3a0d10a8ae60852677117f7a17/small/discovery-from-sample-level-public-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discovery from sample-level public data (GEO, SRA and more) using IPA Land Explorer</video:title>
            <video:description>Within QIAGEN Ingenuity Pathway Analysis (IPA), public data sourced from OmicSoft is already processed and standardized, making it easy to jump to the actual research.&lt;/p&gt;
&lt;p&gt;In this training, we'll show how to effectively use sample-level public data and metadata from sources like GEO, SRA, TCGA, GTEx, Blueprint, CCLE and other sources using the IPA Analysis Match and Land Explorer features. We will walk through various use cases, such as biomarker discovery, drug target investigation, studying survival in custom patient cohorts, multi-gene correlation and more.&lt;/p&gt;
&lt;p&gt;You will learn to answer questions such as:&lt;br /&gt;
• How is a gene of interest expressed across different conditions (e.g. diseases, treatments, cell lines)?&lt;br /&gt;
• Is there correlation in the expression for two genes or biomarkers of user interest for a given condition?&lt;br /&gt;
• For a given condition of interest, can we derive a list of genes (e.g., genes specific to a disease, treatment or cell type)?&lt;br /&gt;
• Can we generate custom cohorts of patients (e.g., example TP53 wt vs mutant or PDCD1 high vs low expression) and then, generate survival curves representing those cohorts?&lt;br /&gt;
Can we generate p-values to see if there is significant difference?&lt;br /&gt;
• Can we detect expression of a gene in different cell types from single cell data?</video:description>
            <video:publication_date>2024-08-05T16:47:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3336</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103321875/explore-hand-curated-omics-data</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103321875</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/103321875/49af6d660603e86fb19ca65fe532fc74/video_medium/explore-hand-curated-omics-data-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/103321875/49af6d660603e86fb19ca65fe532fc74/small/explore-hand-curated-omics-data-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Explore Hand curated ‘omics data from ATCC's most popular cell lines that contain mutation in two or more genes of interest</video:title>
            <video:description>Explore a growing database of human and mouse cell line ‘omics data from common and novel cell lines, primary tissues and cells from ATCC. Speed up cell line characterization for your preclinical experiments with quality cell line ‘omics data.</video:description>
            <video:publication_date>2024-08-02T05:39:28+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>251</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>omicsoft tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103321874/explore-atccs-most-popular-cell</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103321874</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/103321874/310a1265266156a9bc19deb4e5177094/video_medium/explore-atccs-most-popular-cell-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/103321874/310a1265266156a9bc19deb4e5177094/small/explore-atccs-most-popular-cell-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Explore ATCC's most popular cell lines that contains authenticated Omics data</video:title>
            <video:description>Explore a growing database of human and mouse cell line ‘omics data from common and novel cell lines, primary tissues and cells from ATCC. Speed up cell line characterization for your preclinical experiments with quality cell line ‘omics data.</video:description>
            <video:publication_date>2024-08-02T05:39:18+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>229</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>omicsoft tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103321853/explore-expression-data-from-atcc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103321853</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/103321853/75c729e19041aa4f2c64ae3fa136096e/video_medium/explore-expression-data-from-atcc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/103321853/75c729e19041aa4f2c64ae3fa136096e/small/explore-expression-data-from-atcc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Explore expression data from ATCC Cell line lands into analysis with OmicSoft Studio</video:title>
            <video:description>Explore a growing database of human and mouse cell line ‘omics data from common and novel cell lines, primary tissues and cells from ATCC. Speed up cell line characterization for your preclinical experiments with quality cell line ‘omics data.</video:description>
            <video:publication_date>2024-08-02T05:39:00+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>169</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>omicsoft tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103308320/probing-oncoland-using-omicsoft</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103308320</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/103308320/b07c821195ff9283fc8f5bc4df7cd946/video_medium/probing-oncoland-using-omicsoft-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/103308320/b07c821195ff9283fc8f5bc4df7cd946/small/probing-oncoland-using-omicsoft-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Probing OncoLand using OmicSoft Studio</video:title>
            <video:description>There's more than one way to probe our OncoLand data. With the OmicSoft Studio graphical user interface (GUI), you won't need a script to fetch the data you want.&lt;/p&gt;
&lt;p&gt;This training will show how high-quality curated genomic repositories, such as the QIAGEN OmicSoft Lands, immediately allow in-depth investigations across diverse oncology and normal tissues/cells data sources (GEO, CPTAC, TCGA, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation.&lt;/p&gt;
&lt;p&gt;You will learn to generate data for questions such as:&lt;/p&gt;
&lt;p&gt;• How is a gene (or a set of genes) expressed across different conditions (e.g., diseases, treatments, cell types)?&lt;br /&gt;
• How is the expression of a gene correlated with the expression of other genes?&lt;br /&gt;
• For a list of genes, can we generate a heatmap studying their expression across different conditions?&lt;br /&gt;
• How do you get a list of biomarkers specific to a condition from public studies?</video:description>
            <video:publication_date>2024-08-01T10:37:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4793</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>oncloland</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103197006/checkpoint-inhibitor-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103197006</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/103197006/431b05bd4e23483f5ea294efac545c5b/video_medium/checkpoint-inhibitor-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/103197006/431b05bd4e23483f5ea294efac545c5b/small/checkpoint-inhibitor-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Checkpoint inhibitor and immuno-oncology investigation through OmicSoft Lands APIs</video:title>
            <video:description>While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data, such investigation is hindered by the difficulty in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high quality curated genomic repositories such as the QIAGEN OmicSoft Lands database immediately allows in-depth investigations across diverse data-sources (GEO, CPTAC, TCGA, GTEx and many more) to discover and validate candidate checkpoint inhibitor drug targets and biomarker investigation.
&lt;p&gt;In this webinar you will learn how to:&lt;/p&gt;
&lt;p&gt;• Easily identify relevant samples using extensive manually curated clinical metadata&lt;br&gt;
• Visualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns in bulk and single cell RNA-seq studies.&lt;br&gt;
• Reveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue&lt;/p&gt;</video:description>
            <video:publication_date>2024-07-25T12:22:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2778</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103184122/ipa-deeper-dive-making-most-out-of-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103184122</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/103184122/5c3bba85f856c9593a6cbc8a706462a9/video_medium/ipa-deeper-dive-making-most-out-of-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/103184122/5c3bba85f856c9593a6cbc8a706462a9/small/ipa-deeper-dive-making-most-out-of-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA deeper dive: Making most out of user’s core/expression analysis</video:title>
            <video:description>An Ingenuity Pathway Analysis (IPA) deeper dive into the core analysis (also known as expression analysis) training was requested by IPA users. Core/Expression analysis is performed on RNA-seq, scRNA-seq, proteomics and many other types of ‘omics data). Accordingly, this training will focus on these topics and more:&lt;br /&gt;
· What are the different result types of results produced by an IPA core analysis?&lt;br /&gt;
· How can we identify key regulators and relevant regulatory networks?&lt;br /&gt;
· What are the biomarkers and genes associated with diseases and biological processes of interest?&lt;br /&gt;
· Can IPA help me generate novel directional (regulator effect) and non-directional (interaction) networks from user’s dataset?&lt;br /&gt;
· Another topic per registrant request&lt;/p&gt;
&lt;p&gt;If you haven’t done a core/expression analysis in IPA before, we recommend you review the below slides before (or after) this training. It’s not a requirement for following this training but it will help.</video:description>
            <video:publication_date>2024-07-24T15:19:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5501</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103182479/assessing-drug-safety-with-qiagen</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103182479</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/103182479/620477f68a24d2d6c6519d98bd3f3d8e/video_medium/assessing-drug-safety-with-qiagen-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/103182479/620477f68a24d2d6c6519d98bd3f3d8e/small/assessing-drug-safety-with-qiagen-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Assessing drug safety with QIAGEN Biomedical KB-AI</video:title>
            <video:description>Are you a healthcare professional, clinical researcher or data scientist interested in drug safety research? If so, you know how vital understanding a drug’s adverse effects is to maximize its effect while minimizing its risks. This webinar will show how the QIAGEN Biomedical KB-AI knowledge graph can be used to explore scientific and pharmacovigilance data. Focusing on immune checkpoint inhibitors (ICIs), we will also demonstrate how Neo4j and Python can be combined to query, visualize and analyze this data effectively.&lt;/p&gt;
&lt;p&gt;We’ll cover the following:&lt;/p&gt;
&lt;p&gt;• Drug safety profiling in Biomedical KB-AI&lt;br /&gt;
• Pharmacovigilance case study of ICIs: Pembrolizumab&lt;br /&gt;
• Comparative analysis of ICIs for comprehensive safety monitoring.</video:description>
            <video:publication_date>2024-07-24T13:57:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3604</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>bkb</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103108454/antimicrobial-resistance-amr-and-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103108454</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/103108454/6d941784b07c35a6956c54fea3ebd9e7/video_medium/antimicrobial-resistance-amr-and-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/103108454/6d941784b07c35a6956c54fea3ebd9e7/small/antimicrobial-resistance-amr-and-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Antimicrobial resistance (AMR) and multi-locus sequence typing (MLST) with QIAGEN CLC Genomics Workbench </video:title>
            <video:description>You asked, and we’re here to deliver. In this training, we’ll cover how antimicrobial resistance (AMR) is used for isolation or can be easily integrated with other functionalities such as multi-locus sequence typing (MLST).&lt;/p&gt;
&lt;p&gt;In this training, we’ll cover:&lt;br /&gt;
• Introduction to AMR, MLST and relevant databases&lt;br /&gt;
• QIAGEN Microbial Insight - Antimicrobial Resistance database (QMI-AR)&lt;br /&gt;
• Importing data and downloading needed databases&lt;br /&gt;
• Finding resistance with nucleotide DB, PointFinder and ShortBRED&lt;br /&gt;
• Integrating AMR with MLST&lt;br /&gt;
• Exporting high-resolution graphics and result tables.</video:description>
            <video:publication_date>2024-07-22T15:37:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4762</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103041527/de-novo-assembly-blast-and-genome-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103041527</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/103041527/cb9b50a24991636a33c5d8e53c0d1279/video_medium/de-novo-assembly-blast-and-genome-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/103041527/cb9b50a24991636a33c5d8e53c0d1279/small/de-novo-assembly-blast-and-genome-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>De novo assembly, BLAST and genome finishing with QIAGEN CLC Genomics Workbench </video:title>
            <video:description>This webinar will introduce users to the tools available for short reads (Illumina) as well as long reads (Oxford Nanopore, Pac Bio) de novo assembly in CLC Genomics Workbench. It will also go over other useful functionalities such as BLAST and genome finishing.&lt;/p&gt;
&lt;p&gt;Participants will learn the following:&lt;br /&gt;
o Download and install needed plugins.&lt;br /&gt;
 o Import data required for the analysis.&lt;br /&gt;
o Run the de novo assembly workflow.&lt;br /&gt;
o For long reads, improve a de novo assembly by polishing with short, high-quality reads.&lt;br /&gt;
o Map reads to a reference and visualize an assembly.&lt;br /&gt;
o For long reads, correct raw long reads for further analysis.&lt;br /&gt;
o Use BLAST to investigate the contigs.&lt;br /&gt;
o Analyze and assemble contigs through Genome Finishing tools.</video:description>
            <video:publication_date>2024-07-18T18:31:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4827</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103037588/benefits-of-integrating-targeted</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103037588</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/103037588/d8cd6e0b62a97b149226f46fb7bf8873/video_medium/benefits-of-integrating-targeted-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/103037588/d8cd6e0b62a97b149226f46fb7bf8873/small/benefits-of-integrating-targeted-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Benefits of integrating targeted next-generation sequencing (NGS) panels into molecular diagnostics of solid tumors</video:title>
            <video:description>Variant detection of multiple genes from a single tumor sample requires high-throughput molecular testing. To meet this demand, targeted next-generation sequencing (NGS) panels are useful in clinical settings for accurate tumor profiling and the identification of essential molecular aberrations for personalized therapies. By focusing only on a subset of genes, targeted NGS is not only a cost-effective solution, but can rapidly deliver insights into a tumor molecular profile.&lt;/p&gt;
&lt;p&gt;To address this challenge, a clinical research team led by Dr. Michela Bulfoni at the Istituto di Anatomia Patologica designed custom NGS panels, named “Glioma” and “Routine Diagnostics”, targeting single nucleotide variations, insertions/deletions, fusions, and copy number variations of tumor-associated essential genes.&lt;/p&gt;
&lt;p&gt;In this webinar, attendees will:&lt;br /&gt;
- Understand the clinical utility of custom-designed NGS panels for accurate tumour diagnosis&lt;br /&gt;
- Learn about the design and application of these NGS panels&lt;br /&gt;
- Gain insights into the cost-effectiveness and high sensitivity of NGS panels in improving sample throughput&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Category: QCI Interpret for Oncology, Sample to Insight</video:description>
            <video:publication_date>2024-07-18T16:20:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3717</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>qci interpret</video:tag>
            <video:tag>QCI Interpret for Oncology</video:tag>
            <video:tag> Sample to Insight</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103033258/discoveries-from-comparing-user</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103033258</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/103033258/78722b71c5902a38d8be9d5e6b1034fb/video_medium/discoveries-from-comparing-user-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/103033258/78722b71c5902a38d8be9d5e6b1034fb/small/discoveries-from-comparing-user-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discoveries from comparing user data with high-quality public genomics data</video:title>
            <video:description>Discoveries from comparing user data with high-quality public genomics data&lt;/p&gt;
&lt;p&gt;Description:&lt;br /&gt;
Scientists across biopharma and academia, from early discovery and translational research to toxicology and more, are highly interested in comparing and validating their 'omics experiment results such as RNA-seq, microarray, and single cell RNA-seq against published datasets. With QIAGEN OmicSoft Lands collections of deeply curated omics datasets from biomarkers and drug target investigations, tissue and cell type profiling, drug response studies and more, it is quick and easy to discover, retrieve, and compare data from GEO, SRA, GTEx, TCGA, HCL, and other data sources against your own experiments.&lt;/p&gt;
&lt;p&gt;In this webinar, you will learn how to compare your data with published datasets with clean metadata using two different approaches:&lt;/p&gt;
&lt;p&gt;OmicSoft Studio Graphical User Interface: Many scientists interested in validating their omics datasets are comfortable with a no-code GUI. The trainer will teach you how to find interesting published datasets in the Land database, retrieve these data, then compare your data using OmicSoft Studio.&lt;/p&gt;
&lt;p&gt;OmicSoft Lands APIs: Data scientists and bioinformaticians, and others more comfortable working with command-line data exploration and visualization tools within R and Python, can use the OmicSoft Lands API. OmicSoft Lands API allows command-line users to efficiently search, explore, and analyze multi-omics data using consistent metadata and data models, then retrieve data of interest to compare directly with user datasets.</video:description>
            <video:publication_date>2024-07-18T13:54:58+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4966</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>tutorials</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103023310/sample-to-insight-oncology</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103023310</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/103023310/4b6eaae6c8a242cf0d8595d656398699/video_medium/sample-to-insight-oncology-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/103023310/4b6eaae6c8a242cf0d8595d656398699/small/sample-to-insight-oncology-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Sample to Insight Oncology</video:title>
            <video:description>Sample to insight solution for any oncology applocation</video:description>
            <video:publication_date>2024-07-18T00:07:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>63</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103007871/investigate-biomarkers-drug-targets</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103007871</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/103007871/fab692c69304bd9b9edbf41bd63ad27a/video_medium/investigate-biomarkers-drug-targets-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/103007871/fab692c69304bd9b9edbf41bd63ad27a/small/investigate-biomarkers-drug-targets-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigate biomarkers, drug targets and more with QIAGEN IPA BioProfiler</video:title>
            <video:description>QIAGEN IPA's BioProfiler feature allows you to explore and filter the details behind the connections of molecules to diseases and biological functions.&lt;/p&gt;
&lt;p&gt;You'll learn to use BioProfiler to:&lt;br /&gt;
· Make novel discoveries with the ability to filter the fine-grained relationships between molecules (genes, RNAs, proteins and chemicals) and diseases or functions&lt;br /&gt;
· Identify how specific genes are causally linked to user’s disease(s) of interest&lt;br /&gt;
· Investigate different types of biomarkers&lt;br /&gt;
· Investigate drugs in different phases of clinical trials&lt;br /&gt;
· Display molecules and their disease or function associations as a network</video:description>
            <video:publication_date>2024-07-17T10:41:52+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3132</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>bioprofiler</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103007823/qiagen-ingenuity-pathway-analysis-15</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103007823</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/103007823/d3a132a71cee9e1756d5625462cf809b/video_medium/qiagen-ingenuity-pathway-analysis-15-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/103007823/d3a132a71cee9e1756d5625462cf809b/small/qiagen-ingenuity-pathway-analysis-15-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Ingenuity Pathway Analysis (IPA) summer camp Part 3</video:title>
            <video:description>• Compare different experimental conditions (different ‘omics data, treatments, time points, single-cell clusters, disease types and more) and identify similarities and contrasts&lt;br&gt;
• Generate a network even without a dataset or experimental design for hypothesis generation</video:description>
            <video:publication_date>2024-07-17T10:38:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4110</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103007822/qiagen-ingenuity-pathway-analysis-14</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103007822</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/103007822/84561e01322b084f88e547b9481fea40/video_medium/qiagen-ingenuity-pathway-analysis-14-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/103007822/84561e01322b084f88e547b9481fea40/small/qiagen-ingenuity-pathway-analysis-14-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Ingenuity Pathway Analysis (IPA) summer camp Part 2</video:title>
            <video:description>• Understand the different result types produced (pathways, key regulators, and more)&lt;br&gt;
• Customize chart outputs using filters and different chart types like a volcano plot like bubble chart</video:description>
            <video:publication_date>2024-07-17T10:37:05+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4193</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/103007804/qiagen-ingenuity-pathway-analysis-13</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=103007804</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/103007804/77c43ef8915b3fcdf8846b7ffb7e939a/video_medium/qiagen-ingenuity-pathway-analysis-13-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/103007804/77c43ef8915b3fcdf8846b7ffb7e939a/small/qiagen-ingenuity-pathway-analysis-13-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Ingenuity Pathway Analysis (IPA) summer camp Part 1</video:title>
            <video:description>• IPA general overview • Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more)&lt;br /&gt;
• Set up core/pathway analysis in IPA</video:description>
            <video:publication_date>2024-07-17T10:34:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4106</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/102781799/leveraging-the-qiagen-knowledge</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=102781799</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/102781799/29098322ef712acc75fa46ec38c8e1de/video_medium/leveraging-the-qiagen-knowledge-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/102781799/29098322ef712acc75fa46ec38c8e1de/small/leveraging-the-qiagen-knowledge-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Leveraging the QIAGEN Knowledge Graph and causal embeddings for insights into drug repurposing</video:title>
            <video:description>By connecting diverse entities and relationships, biomedical knowledge graphs hold the potential to uncover new insights from existing data. This webinar introduces a machine learning-based approach that utilizes causal interactions from the QIAGEN Knowledge Graph to predict novel drug-disease relationships and construct networks that capture relevant supporting evidence. We will present examples that showcase the application of this approach in the context of drug repurposing</video:description>
            <video:publication_date>2024-07-09T00:37:18+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3599</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>#BiomedicalKnolwdgeBase #KnowlwdgeGraph</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/102661585/accelerating-drug-discovery-with</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=102661585</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/102661585/faf29f53dc95831138d7d79f72d86480/video_medium/accelerating-drug-discovery-with-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/102661585/faf29f53dc95831138d7d79f72d86480/small/accelerating-drug-discovery-with-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Accelerating drug discovery with comprehensive curated knowledge (Bio-IT talk)</video:title>
            <video:description>From our talk at BioIT, join QIAGEN Senior Field Application Scientist, Kyle Nilson, PhD, to see how detailed curated knowledge of molecular relationships, datasets and more can quickly drive your understanding of diseases and drive your data-driven drug discovery efforts.</video:description>
            <video:publication_date>2024-07-03T11:07:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1785</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>bkb</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/102287520/hgmd-pro-in-action-search-curate-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=102287520</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/102287520/ef8eae4ff2f1923d253694254b2cc322/video_medium/hgmd-pro-in-action-search-curate-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/102287520/ef8eae4ff2f1923d253694254b2cc322/small/hgmd-pro-in-action-search-curate-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>HGMD Pro in action: Search, curate and classify genetic variants - Session 2</video:title>
            <video:description>As the use of next-generation sequencing (NGS) in diagnostics increases, so does the demand for analysis methods that can speed up turnaround time while ensuring the quality of variant analysis. Since information on a variant plays a critical role in determining its influence on a patient’s diagnosis and treatment, clinicians require a high-quality, trusted knowledge base to lessen manual review and focus on patient care instead.&lt;br&gt;&lt;br&gt;&amp;nbsp;In this previously aired live, interactive training session, our technical expert demonstrates how the Human Gene Mutation Database (HGMD) Professional can help you get better variant data faster. You will learn how to:&lt;br&gt;
•	Differentiate between clinically significant variants and variants of unknown significance (VUS)&lt;br&gt;
•	Use batch search vs. advanced search, including their differences&lt;br&gt;
•	Curate genes using HGMD Pro’s accurate, up-to-date information&lt;br&gt;
•	Determine the predominant type of genetic variant that occurs in a specific gene to understand the genetic mechanisms underlying associated diseases&lt;br&gt;
•	Tackle additional topics of interest based on registration feedback</video:description>
            <video:publication_date>2024-06-21T03:25:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3552</video:duration>
            <video:category>HGMD</video:category>
            <video:tag>HGMD</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/102108300/how-decentralized-and-small-labs</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=102108300</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/102108300/2b796ab5541b12a24e2d75eb8bf84bf7/video_medium/how-decentralized-and-small-labs-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/102108300/2b796ab5541b12a24e2d75eb8bf84bf7/small/how-decentralized-and-small-labs-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How decentralized and small labs can adopt high-throughput NGS analysis with limited time and resource investment</video:title>
            <video:description>Next-generation sequencing (NGS) has rapidly gained popularity as a diagnostic testing approach due to its unparalleled ability to comprehensively analyze genetic information with high throughput and precision. However, decentralized and small labs face significant hurdles when it comes to adopting NGS testing. From high upfront costs associated with acquiring the necessary equipment, to the complexity of bioinformatics tools and compliance management that require specialized expertise in data analysis and data security, adopting NGS poses challenges for labs with limited staff and infrastructure.&lt;/p&gt;
&lt;p&gt;To empower small and decentralized labs to easily adopt NGS testing, QIAGEN has launched a new secondary analysis solution for oncology and inherited disease applications that enables high-throughput secondary analysis for use with any clinical NGS data. In this webinar, learn about QCI Secondary Analysis, an agnostic, cloud-based software-as-a-service (SaaS) solution that seamlessly integrates with QCI Interpret, QIAGEN’s clinical variant interpretation and reporting software, to deliver highly scalable and customizable Sample to Insight workflows for oncology and inherited disease applications.&lt;/p&gt;
&lt;p&gt;In this webinar, attendees will learn how QCI Secondary Analysis:&lt;br /&gt;
&lt;br /&gt;
         . Streamlines analysis from a range of assay types, enabling labs to process more sequencing data without extensive time and resource investment.&lt;br /&gt;
         . Ensures the highest degree of isolation and data protection, including compliance with ISO 27001, General Data Protect Regulation (GDPR), and the Health Insurance Portability and Accountability Act (HIPPA) requirements.&lt;br /&gt;
         . Directly connects to QCI Interpret for an integrated and automated FASTQ-to-report workflow with limited hands-on time.</video:description>
            <video:publication_date>2024-06-14T23:45:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1959</video:duration>
            <video:category>QCI Secondary Analysis</video:category>
            <video:tag>clinical</video:tag>
            <video:tag>NGS Secondary Analysis</video:tag>
            <video:tag>NGS webinar</video:tag>
            <video:tag> QCI Hereditary</video:tag>
            <video:tag>QCI Interpret</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/102012320/venn-diagram-and-merging-datasets</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=102012320</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/102012320/59aa4a989cc4cd61880468014e1749cd/video_medium/venn-diagram-and-merging-datasets-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/102012320/59aa4a989cc4cd61880468014e1749cd/small/venn-diagram-and-merging-datasets-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Venn diagram and merging datasets using QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>Based on recent feedback, we are hosting this 60min training focused on below 3 topics.&lt;br /&gt;
• How to increase memory in IPA for better loading of charts and networks (request from new users)&lt;br /&gt;
• How to generate Venn Diagram (request from new and experienced users)&lt;br /&gt;
• How to merge multiple dataset files into a single file</video:description>
            <video:publication_date>2024-06-12T14:06:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3464</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/101716342/expert-panel-mitigating-variability</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=101716342</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/101716342/268cadcd383cd2bd3c286fdfcf06a545/video_medium/expert-panel-mitigating-variability-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/101716342/268cadcd383cd2bd3c286fdfcf06a545/small/expert-panel-mitigating-variability-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Expert panel: Mitigating variability in somatic variant interpretation</video:title>
            <video:description>Next-generation sequencing (NGS) oncology panels are becoming integral in hospital and academic settings to guide patient treatment and enrollment in clinical trials. But as NGS is increasingly used in precision oncology and an unprecedented amount of genomic information is uncovered, there is an industry-wide issue of standardization: a high degree of variability in variant interpretation currently exists across laboratories.&lt;/p&gt;
&lt;p&gt;Inconsistencies in variant interpretation among laboratories can create confusion for clinicians and their patients, leaving them unable to confidently use genetic information to manage healthcare decisions. In this previously aired live panel discussion, experts in NGS testing and clinical informatics explore the issues surrounding the standardization of variant interpretation and consider how interpretation guidelines and clinical decision support (CDS) software can help to mitigate variability between laboratories.&lt;/p&gt;
&lt;p&gt;Topics of discussion include:&lt;/p&gt;
&lt;p&gt;Findings of a peer-reviewed study comparing the accuracy and consistency of variant assessments from commercial CDS software to the internal variant interpretation methods of eight laboratories.&lt;br /&gt;
Causes of inter-laboratory inconsistency in variant interpretation and how to mitigate variability.&lt;br /&gt;
The benefits of having an up-to-date, high-quality knowledge base to produce consistent, evidence-based clinical classifications.</video:description>
            <video:publication_date>2024-06-06T19:25:01+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3623</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>qci interpret</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/101711972/hgmd-pro-in-action-search-curate</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=101711972</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/101711972/3ffb9c39e2e4c4a1606a651803ded371/video_medium/hgmd-pro-in-action-search-curate-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/101711972/3ffb9c39e2e4c4a1606a651803ded371/small/hgmd-pro-in-action-search-curate-thumbnail.jpg</video:thumbnail_loc>
            <video:title>HGMD Pro in action: Search, curate and classify genetic variants - Session 1</video:title>
            <video:description>As the use of next-generation sequencing (NGS) in diagnostics increases, so does the demand for analysis methods that can speed up turnaround time while ensuring the quality of variant analysis. Since information on a variant plays a critical role in determining its influence on a patient’s diagnosis and treatment, clinicians require a high-quality, trusted knowledge base to lessen manual review and focus on patient care instead.&lt;/p&gt;
&lt;p&gt;In this previously aired live, interactive training session, our technical expert demonstrates how the Human Gene Mutation Database (HGMD) Professional can help you get better variant data faster. You will learn how to:&lt;/p&gt;
&lt;p&gt;Differentiate between clinically significant variants and variants of unknown significance (VUS)&lt;br /&gt;
Use batch search vs. advanced search, including their differences&lt;br /&gt;
Curate genes using HGMD Pro’s accurate, up-to-date information&lt;br /&gt;
Determine the predominant type of genetic variant that occurs in a specific gene to understand the genetic mechanisms underlying associated diseases&lt;br /&gt;
Tackle additional topics of interest based on registration feedback</video:description>
            <video:publication_date>2024-06-06T17:04:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3136</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>hgmd tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/101621396/plugins-installation-for-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=101621396</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/101621396/174b0572cca7c9672c333cf500e73d3f/video_medium/plugins-installation-for-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/101621396/174b0572cca7c9672c333cf500e73d3f/small/plugins-installation-for-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Plugins Installation for CLC Workbench</video:title>
            <video:description>Description: Plugins extend the functionality of CLC Workbenches and CLC Genomics Server. How to install plugins in a CLC Workbench is highlighted in this video. A list of the available plugins is available from the following webpage: &lt;a href="https://digitalinsights.qiagen.com/products-overview/plugins/"&gt;https://digitalinsights.qiagen.com/products-overview/plugins/&lt;/a&gt;</video:description>
            <video:publication_date>2024-06-04T13:58:32+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>297</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc</video:tag>
            <video:tag>plugin</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/101491473/compare-and-contextualize-results</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=101491473</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/101491473/02a1d25334c4c8ef9409068a8399dfce/video_medium/compare-and-contextualize-results-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/101491473/02a1d25334c4c8ef9409068a8399dfce/small/compare-and-contextualize-results-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Compare and contextualize results using Ingenuity Pathway Analysis</video:title>
            <video:description>Take your IPA analysis results to the next level by comparing them to your own analyses (different timepoints, treatments, cell lines, diseased and more) or from a library of over 160,000 pre-computed datasets to find similar or opposite biological signatures. Identify key genes or entities and then explore how they are expressed across normal tissues, diseases and more from over 600,000 biological samples to gain deep context.&lt;/p&gt;
&lt;p&gt;Attendees will learn how to:&lt;/p&gt;
&lt;p&gt;• Use and interpret the IPA Activity Plot feature to identify key genes and regulators common across datasets&lt;br /&gt;
• Scan across pre-computed datasets to query for any collection of genes in a network or pathway for similar or opposite gene signature using Pattern Search&lt;br /&gt;
• Advance insights with the IPA Analysis Match comparison feature to compare large numbers of user datasets and/or public datasets (from GEO, SRA, cancer collections and more)</video:description>
            <video:publication_date>2024-05-31T15:07:15+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3321</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa analysis match</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/101491433/streamline-h5n1-and-other-microbial</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=101491433</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/101491433/85867c19de4f02ab975800113a6db58f/video_medium/streamline-h5n1-and-other-microbial-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/101491433/85867c19de4f02ab975800113a6db58f/small/streamline-h5n1-and-other-microbial-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Streamline H5N1 and other microbial samples with CLC Genomics Workbench</video:title>
            <video:description>In this training, you will learn how to analyze viral samples using QIAGEN CLC Genomics Workbench. This webinar will focus on bioinformatics workflows and data interpretation using H5N1 as an example, but similar analysis can be done with other viral and microbial (bacteria, fungus and more) samples.
&lt;p&gt;Using viral samples, you will learn how to:&lt;/p&gt;
&lt;p&gt;• Utilize molecular biology tools such as primer design, cloning, alignment and tree construction and Sanger sequencing analysis&lt;br&gt;
• Profile the virus present in a sample and automatically generate read mappings, detect variants, annotate consensus sequences, BLAST annotated consensus sequence genes and build phylogenetic trees for top hits and their close relatives&lt;br&gt;
• Microbial genomics analysis including OTU clustering, taxonomic profiling and functional analysis&lt;br&gt;
• Additional topics of interest based on registration feedback&lt;/p&gt;
&lt;p&gt;QIAGEN CLC Genomics Workbench is a user-friendly bioinformatics software solutions for genomics, transcriptomics, epigenomics and metagenomics analysis in one program.&lt;/p&gt;</video:description>
            <video:publication_date>2024-05-31T15:06:50+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3430</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>microbial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/101070273/scale-up-ngs-bioinformatics-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=101070273</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/101070273/45dee0e037fcd6915ebfdd6056c7d178/video_medium/scale-up-ngs-bioinformatics-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/101070273/45dee0e037fcd6915ebfdd6056c7d178/small/scale-up-ngs-bioinformatics-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Scale up NGS bioinformatics analysis throughput with CLC Genomics Server and Cloud solutions</video:title>
            <video:description>More and more biopharma and academic groups are looking to process a large number of samples simultaneously or for a quicker turnaround time. This webinar will introduce a flexible and powerful setup for running your NGS sequence analyses through servers or Amazon Web Services (AWS), depending on user preference. We will demonstrate how CLC Genomics Workbench can be used to customize workflows and send analyses for batch execution. We will also highlight analysis automation solutions, use of third-party dockers, audit trails and user management – all of which are available with the CLC Genomics Server software.&lt;/p&gt;
&lt;p&gt;You will learn to:&lt;br /&gt;
• Customize template workflows to meet your NGS analysis requirements&lt;br /&gt;
• Set up a CLC Genomics Cloud environment on AWS&lt;br /&gt;
• Submit workflows to run on internal servers or AWS and retrieve results from these analyses&lt;br /&gt;
• Use third-party dockers and automate workflow execution</video:description>
            <video:publication_date>2024-05-23T13:56:52+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3943</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>cloud</video:tag>
            <video:tag>genomics server</video:tag>
            <video:tag>high-throughput</video:tag>
            <video:tag>ngs</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/101070251/leveraging-the-power-of-api-based</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=101070251</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/101070251/a4ff75936a0287722b5ec12b972f57a8/video_medium/leveraging-the-power-of-api-based-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/101070251/a4ff75936a0287722b5ec12b972f57a8/small/leveraging-the-power-of-api-based-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Leveraging the power of API-based omics (RNA-seq, proteomics and more) queries for discovery</video:title>
            <video:description>There is a strong interest in the scientific community to use public (GEO, SRA, TCGA, LINCS, etc.) omics (RNA-seq, scRNA-seq, microarray, proteomics, etc.) data for a variety of discoveries. This webinar, aimed at data scientists, bioinformaticians and similar roles in biopharma and academia, explores a comprehensive way of accessing and analyzing high-quality, expertly curated omics data via the QIAGEN OmicSoft APIs. These OmicSoft APIs provide a powerful and flexible platform for discovering, retrieving, filtering, analyzing and visualizing multi-omic data. You can learn how to access the OmicSoft APIs and programmatically leverage extensive metadata to perform custom analyses and identify targets of interest.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Topics to be covered in this webinar:&lt;/p&gt;
&lt;p&gt;• Leveraging curated metadata to structure queries (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)&lt;br&gt;
• Finding multiple samples with the same metadata and creating cohorts&lt;br&gt;
• Identifying expression and correlation&lt;br&gt;
• Performing gene set enrichment analysis&lt;br&gt;
• Testing cell specificity with custom aggregation&lt;/p&gt;</video:description>
            <video:publication_date>2024-05-23T13:56:40+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3538</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft API</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/101070223/qiagen-biomedical-kb-hd-data-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=101070223</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/101070223/d5c09c5e1a5ab2cef09a9d16060c795e/video_medium/qiagen-biomedical-kb-hd-data-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/101070223/d5c09c5e1a5ab2cef09a9d16060c795e/small/qiagen-biomedical-kb-hd-data-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Biomedical KB-HD: data- and analytics-driven drug discovery</video:title>
            <video:description>Ingenuity Pathway Analysis (IPA), currently cited in tens of thousands of publications and used by a large number of biopharmaceutical companies, is backed by QIAGEN Biomedical KB-HD. Accordingly, biomedical relationships knowledge has practically become required for innovative data- and analytics-driven drug discovery. It powers biomedical knowledge graph analysis, artificial intelligence (AI)-driven target identification and many more applications.
&lt;p&gt;In this webinar, we will introduce Biomedical KB-HD and how it allows its users to tackle applications that are not feasible with the Ingenuity Pathway Analysis graphical user interface or can be done faster and with more flexibility programmatically. We will demonstrate queries such as&lt;/p&gt;
&lt;p&gt;• Quickly find the shortest connections between genes/proteins/metabolites of interest in the context of specific disease through queries&lt;br&gt;
• Systematically build a network given a short list of genes/proteins/metabolites/chemicals&lt;br&gt;
• Recreate a drug mechanism of action&lt;/p&gt;</video:description>
            <video:publication_date>2024-05-23T13:56:22+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3198</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>biomedical knowledge base</video:tag>
            <video:tag>bkb</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/100892343/clinicians-roundtable-interpreting</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=100892343</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/100892343/ec078f9cf9d59d0e1800944ff44b87de/video_medium/clinicians-roundtable-interpreting-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/100892343/ec078f9cf9d59d0e1800944ff44b87de/small/clinicians-roundtable-interpreting-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Clinician’s Roundtable: Interpreting genomic test results for precision oncology</video:title>
            <video:description>&lt;p&gt;You’re invited to attend the 2024 Clinician’s Roundtable, a virtual event where medical directors and oncologists will discuss how to better interpret genomic test results to tailor treatment strategies for cancer patients. As the role of the Molecular Tumor Board (MTB) becomes increasingly important in the implementation of evidence-based precision cancer medicine programs, molecular pathology labs must overcome challenges in genomic test interpretation to ensure maximum clinical utility of molecular profiling results.&lt;/p&gt;&lt;p&gt;At this event, hear from clinicians at leading universities and organizations as they present real-world case studies of how molecular pathology labs can improve test turnaround, standardize test interpretation, and deliver comprehensive genomic reports with personalized diagnostic, prognostic, and therapeutic information for each patient.&lt;/p&gt;&lt;p&gt;The free-to-attend virtual event will consist of four educational parts:&lt;/p&gt;&lt;p&gt;1. Case Presentations: Clinicians from Dana Farber Cancer Institute and the National Cancer Institute will present cases of how their labs have overcome challenges in genomic test interpretation.&lt;/p&gt;&lt;p&gt;2. Live Q&amp;amp;A Session: Attendees will have the opportunity to ask the clinicians questions about their experiences implementing precision oncology programs at their institutions.&lt;/p&gt;&lt;p&gt;3. Solution Showcase: In a brief presentation, experts from QIAGEN Digital Insights will showcase our leading Sample to Insight solutions for molecular tumor profiling.&lt;/p&gt;&lt;p&gt;4. Future Forecast: The event will conclude with a short presentation about how molecular tumor profiling will change in the next five years and how labs can leverage new technologies to improve patient care.&lt;/p&gt;</video:description>
            <video:publication_date>2024-05-21T15:21:35+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5510</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>oncology summit 2024</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/100159561/network-construction-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=100159561</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/100159561/ca9310e06dc3048b41eb828479694146/video_medium/network-construction-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/100159561/ca9310e06dc3048b41eb828479694146/small/network-construction-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Network construction and customization with QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>This in-depth training focuses on effectively constructing a network, with or without a dataset (RNA-seq, proteomics, etc.), and easily modifying it – all within Ingenuity Pathway Analysis.
&lt;p&gt;In this interactive training, attendees will learn how to:&lt;/p&gt;
&lt;p&gt;• Construct a network from scratch or open a network/pathway of interest from their analysis or the Ingenuity Knowledge Base&lt;br&gt;
• Effectively use tools present in the Build and Overlay menus to add molecules (genes/proteins, chemicals, metabolites), biological processes/diseases of their interest and more&lt;br&gt;
• Modify the network (e.g., to keep only a specific type of relationship like activation, phosphorylation, protein-protein binding and more)&lt;br&gt;
• Perform in silico prediction (e.g., if a drug, siRNA or CRISPR were to reduce the activity of a gene/protein, how will it impact the remaining genes/proteins/diseases in that network)&lt;br&gt;
• Export high-resolution graphics or tabular relationships and make the created network usable in future pathway analysis&lt;/p&gt;</video:description>
            <video:publication_date>2024-05-10T08:19:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5809</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/99492482/dna-seq-analyses-whole-genome-whole</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=99492482</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/99492482/c8745d5f8de751d7f0fe50b1e0a29d9c/video_medium/dna-seq-analyses-whole-genome-whole-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/99492482/c8745d5f8de751d7f0fe50b1e0a29d9c/small/dna-seq-analyses-whole-genome-whole-thumbnail.jpg</video:thumbnail_loc>
            <video:title> DNA-seq analyses (whole genome, whole exome, panel) using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>In this training, we’ll go over how to easily perform DNA-seq analyses (for whole genome, whole exome, panel and similar) easily and effectively using QIAGEN CLC Genomics Workbench.&lt;/p&gt;
&lt;p&gt;Together, we’ll explore:&lt;/p&gt;
&lt;p&gt;• Read mapping&lt;br /&gt;
• Variant calling (SNPs, mutations, Indels and more)&lt;br /&gt;
• Annotations and filters&lt;br /&gt;
• Genome Browser</video:description>
            <video:publication_date>2024-05-02T17:06:28+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5827</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>dna-seq</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/99492464/ipa-deep-dive-mirna-investigation</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=99492464</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/99492464/f77de5d937a0ce40aed6a161dc0b1d64/video_medium/ipa-deep-dive-mirna-investigation-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/99492464/f77de5d937a0ce40aed6a161dc0b1d64/small/ipa-deep-dive-mirna-investigation-thumbnail.jpg</video:thumbnail_loc>
            <video:title> IPA deep dive: miRNA investigation using QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>In this 90-minute training session, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.&lt;/p&gt;
&lt;p&gt;Topics that will be covered include:&lt;/p&gt;
&lt;p&gt;• How to analyze miRNA-seq datasets alone or both miRNA and corresponding mRNA datasets together&lt;br /&gt;
• How to use QIAGEN IPA without a dataset, using miRNA IDs&lt;br /&gt;
• Introduction to databases and curated content specific to miRNA&lt;br /&gt;
• How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms</video:description>
            <video:publication_date>2024-05-02T17:06:12+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5664</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>mirna</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/99492456/germline-and-somatic-variant</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=99492456</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/99492456/7d3df9d7d8cc1851030c431460e6ab80/video_medium/germline-and-somatic-variant-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/99492456/7d3df9d7d8cc1851030c431460e6ab80/small/germline-and-somatic-variant-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Germline and Somatic Variant Investigation using COSMIC, HGMD and QCI-IT</video:title>
            <video:description>The accurate identification and annotation of germline and somatic variants rely on the accuracy and depth of reference databases containing information about the genetic variants, any associated phenotype and their clinical implications. By combining COSMIC, HGMD and QIAGEN QCI IT, scientists can annotate gene variants using the world’s most comprehensive and up-to-date curated scientific evidence and find biological connections in gene variants with manually curated scientific findings. The software and databases allow you to get valuable and reliable insights for your research project and speed up your discoveries related to disease-causing and disease-associated germline and somatic variants.
&lt;p&gt;In this training, you will:&lt;/p&gt;
&lt;p&gt;1. Learn about the Catalogue of Somatic Mutations in Cancer (COSMIC), the world’s largest, most comprehensive, expert-curated resource for somatic mutations in human cancers, and how it can help you identify variants of interest for cancer research.&lt;br&gt;
2. Hear about the breadth and depth of the Human Gene Mutation Database (HGMD) and how it can aid in your search for disease-causing and disease-associated germline mutations.&lt;br&gt;
3. Explore the capabilities of QCI IT, which can help accelerate your discoveries from hereditary or tumor cohort analyses and find associations between gene variants and diseases from VCF files.&lt;/p&gt;</video:description>
            <video:publication_date>2024-05-02T17:05:50+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3681</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>databases</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/96974239/omicsoft-api-flexible-api-access</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=96974239</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/96974239/df1181cfa0febe41df1e485badfe25b0/video_medium/omicsoft-api-flexible-api-access-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/96974239/df1181cfa0febe41df1e485badfe25b0/small/omicsoft-api-flexible-api-access-thumbnail.jpg</video:thumbnail_loc>
            <video:title>OmicSoft API : Flexible API access for complex multi-omics queries</video:title>
            <video:description>API access to QIAGEN OmicSoft data, you’ll be empowered to get right to the data analysis with queries of small or huge data slices from our unified ‘omics database. QIAGEN's rigorous metadata curation approach combined with API access to structured and integrated ‘omics data allows you to perform large and complex cross-database, multi-omics queries.&amp;nbsp;</video:description>
            <video:publication_date>2024-04-15T16:03:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>141</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>omicsoft tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/96931897/integrating-deeply-curated-omics-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=96931897</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/96931897/227c0091a6520c73120b1646a408ce92/video_medium/integrating-deeply-curated-omics-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/96931897/227c0091a6520c73120b1646a408ce92/small/integrating-deeply-curated-omics-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Integrating deeply curated omics data with APIs for biomarkers and drug target investigation</video:title>
            <video:description>This webinar is for data scientists and bioinformaticians who need extensive high-quality omics data to target discovery efforts. Learn how to programmatically discover, retrieve, filter, aggregate and analyze omics (RNA-seq, scRNA-seq, microarray, proteomics etc.) data from QIAGEN’s comprehensive repository of deeply curated multi-omics data. Attendees will learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures, and perform custom analyses to reveal disease-related patterns.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions. Topics to be covered:&lt;/p&gt;
&lt;p&gt;• Search for gene signatures to find relevant datasets through Gene Set Analysis&lt;br&gt;
• Identify the correlation of results&lt;br&gt;
• Find multiple datasets with the same metadata (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)&lt;br&gt;
• Perform meta-analysis for novel discoveries&lt;br&gt;
• Test cell specificity with custom aggregation&lt;/p&gt;</video:description>
            <video:publication_date>2024-04-15T09:22:25+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3620</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/96931869/gene-set-enrichment-target</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=96931869</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/96931869/e4fbef5d562098e7b4f091dd31fe5fee/video_medium/gene-set-enrichment-target-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/96931869/e4fbef5d562098e7b4f091dd31fe5fee/small/gene-set-enrichment-target-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Gene set enrichment, target validation and more using high quality biomedical literature findings</video:title>
            <video:description>This 60-minute session will teach you how to effectively use a relationship database for various applications. QIAGEN Biomedical Knowledge Base (Biomedical KB), a database containing high-quality relationship literature findings, the same database backing Ingenuity Pathway Analysis/IPA) will be used, but learnings can also be applied to similar databases.
&lt;p&gt;The following points will be discussed:&lt;/p&gt;
&lt;p&gt;• Gene set enrichment analysis using Biomedical KB&lt;br&gt;
• Target validation through Biomedical KB findings&lt;br&gt;
• Potential other use cases, queries and applications requested by registrants&lt;/p&gt;</video:description>
            <video:publication_date>2024-04-15T09:22:14+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3512</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>BKB</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/96591346/multi-omics-metabolomics-proteomics-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=96591346</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/96591346/ba615a1d6eddfee75a0564f2335466f6/video_medium/multi-omics-metabolomics-proteomics-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/96591346/ba615a1d6eddfee75a0564f2335466f6/small/multi-omics-metabolomics-proteomics-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>This 90-minute training session is about how QIAGEN Ingenuity Pathway Analysis (IPA) allows visualization of molecular intricacy and variations at multiple levels such as transcriptome, proteome, and metabolome. Through a series of brief technical vignettes, it is demonstrated how to:&lt;/p&gt;
&lt;p&gt;· Generate associations among molecular signatures obtained via integrating multi-omics data&lt;/p&gt;
&lt;p&gt;· Extract mechanisms from multi-omics data for precision medicine&lt;/p&gt;
&lt;p&gt;· Disease stratification based on multi-omics profiles&lt;/p&gt;
&lt;p&gt;· Map disease networks among targets and indications</video:description>
            <video:publication_date>2024-04-05T14:52:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5724</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/96591324/single-cell-rna-seq-data-upload</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=96591324</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/96591324/9dc00097d2dcba35cee785df6fb82162/video_medium/single-cell-rna-seq-data-upload-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/96591324/9dc00097d2dcba35cee785df6fb82162/small/single-cell-rna-seq-data-upload-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Single cell RNA-seq – data upload &amp; analysis in Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>This training is generated based on feedback from recent “Single Cell RNA-Seq, Cell Hashing, and Spatial Transcriptomics” training. Some registrants requested below topics to be covered in more details.&lt;br /&gt;
• How to upload single cell RNA-seq data in IPA and start an analysis?&lt;br /&gt;
• How to do above if you don’t have CLC Genomics Workbench?&lt;br /&gt;
• How to do above if you do have CLC Genomics Workbench?&lt;br /&gt;
• Tips and tricks regarding single cell RNA-seq data in IPA&lt;br /&gt;
• Possibly other topics based on user feedback</video:description>
            <video:publication_date>2024-04-05T14:52:31+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5320</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/96591071/single-cell-rna-seq-cell-hashing</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=96591071</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/96591071/7b4ff21c00468737ff022dad2c4b9710/video_medium/single-cell-rna-seq-cell-hashing-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/96591071/7b4ff21c00468737ff022dad2c4b9710/small/single-cell-rna-seq-cell-hashing-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Single Cell RNA-Seq, Cell Hashing, and Spatial Transcriptomics</video:title>
            <video:description>In this training, you will learn how to analyze and interpret your own single cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files.&lt;/p&gt;
&lt;p&gt;Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single cell RNA-seq data. Specifically, you will learn how to:&lt;br /&gt;
• Import your raw FASTQ or processed cell-matrix files.&lt;br /&gt;
• Use pre-configured but customizable pipelines/workflows for single cell RNA-seq data.&lt;br /&gt;
• Generate high resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries.&lt;br /&gt;
o Dimension reduction (UMAP, t-SNE) plots&lt;br /&gt;
o Differential expression table for clusters, cell types, or combination of both&lt;br /&gt;
o Heat map&lt;br /&gt;
o Dot plots&lt;br /&gt;
o Violin plots&lt;br /&gt;
• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).&lt;br /&gt;
• Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.</video:description>
            <video:publication_date>2024-04-05T14:45:40+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5353</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/96154284/agilent-alissa-to-qci-interpret-how</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=96154284</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/96154284/77267060f7cbc751392aebf88d143173/video_medium/agilent-alissa-to-qci-interpret-how-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/96154284/77267060f7cbc751392aebf88d143173/small/agilent-alissa-to-qci-interpret-how-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Agilent Alissa to QCI Interpret: How can your lab reduce the stress and complexity of transitioning to a new clinical informatics platform?</video:title>
            <video:description>In 2023, Agilent announced the discontinuation of their Alissa Interpret clinical informatics platform by the end of 2024. As a result, many of their current customers need to transition to a new variant interpretation and reporting software within a tight timeframe. However, when evaluating new interpretation solutions, clinical labs must consider a variety of factors, including:&lt;/p&gt;
&lt;p&gt;Content quality for clinical reporting&lt;br /&gt;
Flexibility to adapt current workflows to a new platform&lt;br /&gt;
Retaining historical content and comments&lt;br /&gt;
Ease of personnel training&lt;/p&gt;
&lt;p&gt;In this webinar, learn about QCI Interpret, a panel- and sequencer-agnostic clinical informatics platform for NGS variant interpretation and reporting of germline and somatic tests. Our experts will address the concerns of current Alissa users and discuss what sets QCI Interpret apart from other interpretation solutions. In addition, we will show you how seamless it is to transition to QCI Interpret, as well as provide a live demonstration of the industry-leading and reliable software that has been used to analyze and interpret more than 3.5 million patient test cases worldwide.</video:description>
            <video:publication_date>2024-03-26T17:52:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2317</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>agilent</video:tag>
            <video:tag>qci interpret</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/96154283/advances-in-genomic-testing-for</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=96154283</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/96154283/e2309f6907b2293a0f20f60739bd886f/video_medium/advances-in-genomic-testing-for-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/96154283/e2309f6907b2293a0f20f60739bd886f/small/advances-in-genomic-testing-for-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Advances in Genomic Testing for Rare Disease Diagnostics</video:title>
            <video:description>Over the past decade, whole-exome and whole-genome sequencing have transformed the diagnosis of patients with suspected rare genetic diseases. However, despite recent advancements, a large number of patients with rare genetic diseases remains undiagnosed for years because they have limited access to comprehensive genomic testing.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;In this virtual roundtable of leading rare disease experts, panelists will discuss:&lt;/p&gt;
&lt;p&gt;The state of clinical genomic testing at their institutions.&lt;br&gt;
How recent advances in sequencing technology and data analysis, including artificial intelligence (AI), are increasing diagnostic rate.&lt;br&gt;
How barriers to patient access to testing can be removed to improve the care of all people living with rare genetic diseases.&lt;/p&gt;</video:description>
            <video:publication_date>2024-03-26T17:52:15+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3617</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>hereditary</video:tag>
            <video:tag>rare diseases</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/95805450/atcc-cell-line-data-utilization-for</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=95805450</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/95805450/1781462fc244e62dc570b63e81b73600/video_medium/atcc-cell-line-data-utilization-for-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/95805450/1781462fc244e62dc570b63e81b73600/small/atcc-cell-line-data-utilization-for-thumbnail.jpg</video:thumbnail_loc>
            <video:title>ATCC cell line data utilization for cell line selection, validation and other applications</video:title>
            <video:description>Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery.
&lt;p&gt;During this 90-minute discussion, we'll explore how you can use these software tools to:&lt;br&gt;
• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research and more&lt;br&gt;
• Examine various 'omics data for genes of interest for expression, mutation, hotspots and gene dependency data&lt;br&gt;
• Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to the drug target identification&lt;br&gt;
• Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)&lt;br&gt;
• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks&lt;/p&gt;
&lt;p&gt;Our system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.&lt;/p&gt;</video:description>
            <video:publication_date>2024-03-18T14:59:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5388</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>atcc cell line land</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/95667866/leveraging-expert-curated-knowledge</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=95667866</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/95667866/72a97c4861f5b7a1a52edf3c0fa3ff8e/video_medium/leveraging-expert-curated-knowledge-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/95667866/72a97c4861f5b7a1a52edf3c0fa3ff8e/small/leveraging-expert-curated-knowledge-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Leveraging expert-curated knowledge from COSMIC and QIAGEN to avoid pitfalls, qualify candidate drug targets, and accelerate early discovery</video:title>
            <video:description>The cancer drug discovery landscape is shifting. While research continues to grow in cost and complexity, the pace of development has never been faster. Biopharmaceutical companies can’t afford to waste time and resources pursuing ineffective or unsafe ideas.&lt;/p&gt;
&lt;p&gt;In this talk, our experts discuss how biopharmaceutical companies can leverage key genomic, biomedical, and clinical trial databases to improve and accelerate cancer drug discovery while avoiding potential pitfalls. Through a series of use cases, attendees will learn about expert-curated knowledge from the Wellcome Sanger Institute and QIAGEN, and how to use these resources to better predict cancer-driving effects of mutations, identify available drugs that target specific variants, and accelerate indication expansion and repurposing of existing cancer therapies.&lt;/p&gt;
&lt;p&gt;Learning objectives:&lt;/p&gt;
&lt;p&gt;Examine use-cases of how to leverage expert-curated databases across multiple phases of cancer drug development.&lt;br /&gt;
Discover key applications of these databases, including determining the function, frequency, and actionability of specific mutations.&lt;br /&gt;
Discuss potential pitfalls and clinical consequences, and how to avoid them early with data-driven drug target and biomarker qualification.</video:description>
            <video:publication_date>2024-03-13T12:51:41+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2716</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>biopharma</video:tag>
            <video:tag>cosmic</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/95584759/using-cosmic-to-predict-identify</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=95584759</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/95584759/6195fefea91f5961fd37dc693eadb2e4/video_medium/using-cosmic-to-predict-identify-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/95584759/6195fefea91f5961fd37dc693eadb2e4/small/using-cosmic-to-predict-identify-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Using COSMIC to predict, identify, and avoid mutational consequences of cancer therapies during early drug development and in patients</video:title>
            <video:description>Whether your lab is researching and developing targeted cancer therapies or you are analyzing and interpreting diagnostic tests at the point-of-care, a critical part of your workflow is understanding the structural and functional impact of cancer-related mutations.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;The Catalogue Of Somatic Mutations In Cancer (COSMIC) is an expert-curated database encompassing a wide variety of somatic mutation mechanisms causing human cancer. Containing more than 24 million somatic variants with detailed information on mutation distribution, effects, and signatures, COSMIC helps users better predict the cancer-driving effects of mutations and identify available drugs that target specific variants. COSMIC continues to expand its utility with continuous updates to its Mutational Signatures, the Cancer Mutation Census, and Mutation Actionability in Precision Oncology products.&lt;/p&gt;
&lt;p&gt;To illustrate key applications of these features, this webinar focuses on how COSMIC can be used to avoid mutational consequences in cancer drug development and to profile the mutational signatures of cancer therapies in clinical samples.&lt;/p&gt;
&lt;p&gt;Through these clinical and discovery use cases, attendees will learn:&lt;/p&gt;
&lt;p&gt;· How to evaluate genomic loci using the comprehensive coding and non-coding variant annotations within COSMIC&lt;/p&gt;
&lt;p&gt;· How to integrate these variants with curated findings and summaries of mutational impact and clinical actionability&lt;/p&gt;
&lt;p&gt;· How mutational signatures could be useful for clinical diagnosis and drug development applications now and in the future&lt;/p&gt;</video:description>
            <video:publication_date>2024-03-11T13:13:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4045</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>cosmic</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/95322560/biomarker-discovery-target</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=95322560</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/95322560/21d1e8cb451bb6794c973dc0c281a293/video_medium/biomarker-discovery-target-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/95322560/21d1e8cb451bb6794c973dc0c281a293/small/biomarker-discovery-target-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Biomarker discovery, target validation, and variant identification using QIAGEN OmicSoft DiseaseLand, Human Gene Mutation Database, and Ingenuity Pathway Analysis</video:title>
            <video:description>In this webinar, users will learn how to leverage solutions from QIAGEN Digital Insights to discover biomarkers, validate targets, and identify variants. Specifically, users will learn:&lt;br&gt;
1. How to locate public studies of interest using OmicSoft DiseaseLand.&lt;br&gt;
2. Investigate expression of genes of interest across different treatments, disease states, etc.&lt;br&gt;
3. Identify variants of interest for candidate biomarkers and targets using Human Gene Mutation Database.&lt;br&gt;
4. Leveraging the QIAGEN Knowledgebase in Ingenuity Pathway Analysis to explore and extend findings from OmicSoft DiseaseLand and Human Gene Mutation Database.&lt;br&gt;
5. Learn about additional methods to access data from OmicSoft, Human Gene Mutation Database, and Ingenuity Pathway Analysis for data scientists.</video:description>
            <video:publication_date>2024-03-04T14:46:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5235</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>diseaseland</video:tag>
            <video:tag>hgmd</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>target validation</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/95162477/public-single-cell-rna-seq-data-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=95162477</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/95162477/a2182e0e25c5336246c9840011cdcdf7/video_medium/public-single-cell-rna-seq-data-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/95162477/a2182e0e25c5336246c9840011cdcdf7/small/public-single-cell-rna-seq-data-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Public single-cell RNA-seq data investigation using QIAGEN OmicSoft and Ingenuity Pathway Analysis</video:title>
            <video:description>Single-cell RNA-sequencing (scRNA-seq) is widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapy (including immunotherapy) and more. Accordingly, a tremendous amount of scRNA-seq data has been deposited to public domains like GEO.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;In this training, you will learn how to&lt;/p&gt;
&lt;p&gt;· Locate public single-cell studies of interest using QIAGEN Omicsoft Single Cell Lands&lt;/p&gt;
&lt;p&gt;· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)&lt;/p&gt;
&lt;p&gt;· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)&lt;/p&gt;
&lt;p&gt;· Identify key pathways and regulators from scRNA-seq data using QIAGEN Ingenuity Pathway Analysis (IPA)&lt;/p&gt;</video:description>
            <video:publication_date>2024-02-29T08:39:58+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5124</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>single-cell</video:tag>
            <video:tag>single-cell RNA-seq data</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/95162469/workflow-construction-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=95162469</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/95162469/bc377234c6dac4c2366f1f10dac4bdda/video_medium/workflow-construction-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/95162469/bc377234c6dac4c2366f1f10dac4bdda/small/workflow-construction-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Workflow construction and customization using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>Recently we have received some requests from CLC users (as well as CLC RNA-seq certification participants) to go over workflow construction and customization using CLC Genomics Workbench. Accordingly, we are hosting this training. The term workflow refers to bioinformatics secondary analysis pipelines such as DNA-seq, RNA-seq, OTU clustering, de novo assembly and more offered by CLC Genomics Workbench.&lt;/p&gt;
&lt;p&gt;In this training, the trainer will go over&lt;br /&gt;
• The basics of workflow construction&lt;br /&gt;
• How to visualize different steps of the workflow and customize different settings&lt;br /&gt;
• How to edit workflows (add/remove steps, lock/unlock parameters and more)&lt;br /&gt;
• How to share workflows&lt;br /&gt;
• How to install workflows&lt;br /&gt;
• Other workflow related topics</video:description>
            <video:publication_date>2024-02-29T08:39:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4843</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc genomics workbench tutorial</video:tag>
            <video:tag>workflow</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/94791803/introduction-to-analysis-match-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=94791803</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/94791803/cc1b8c1f885469399aabec08a5b5e2e9/video_medium/introduction-to-analysis-match-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/94791803/cc1b8c1f885469399aabec08a5b5e2e9/small/introduction-to-analysis-match-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Introduction to Analysis Match in IPA - Compare your gene and protein expression data to over 100.000 published experimental data</video:title>
            <video:description>With all the expression datasets that are available to the public, wouldn’t it be great to compare them to your own expression data, so you could get a better understanding of the underlying biology of your data?
&lt;p&gt;With QIAGEN IPA Analysis Match, you can compare your expression data with well over 100,000 publicly available datasets that have been processed and analyzed in IPA, as well as all the IPA analyses that you have performed to date.&lt;/p&gt;
&lt;p&gt;In this webinar, we will cover how Analysis Match works and demonstrate this feature with a live demonstration. Feel free to follow along with your analysis and ask questions along the way!&lt;/p&gt;</video:description>
            <video:publication_date>2024-02-20T13:04:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3721</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>analysis match</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/94791798/long-reads-analysis-using-qiagen</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=94791798</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/94791798/1064b6acd3827efea5de820cf4242831/video_medium/long-reads-analysis-using-qiagen-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/94791798/1064b6acd3827efea5de820cf4242831/small/long-reads-analysis-using-qiagen-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Long reads analysis using QIAGEN CLC Genomics workbench (with new features - 2024)</video:title>
            <video:description>This webinar will introduce users to the long read support plugin for Oxford Nanopore and PacBio sequencing reads in QIAGEN CLC Genomics Workbench.
&lt;p&gt;Participants will learn the following:&lt;/p&gt;
&lt;p&gt;• Download and install needed plugins.&lt;br&gt;
• Import data required for the analysis.&lt;br&gt;
• Long read de novo assembly.&lt;br&gt;
• Map reads to a reference and visualize an assembly.&lt;br&gt;
• Use BLAST to investigate the contigs.&lt;br&gt;
• Additional long read tools: polish with short reads, structural variant calling.&lt;br&gt;
• Genome finishing tools: analyze and assemble contigs&lt;br&gt;
• Analytical tools: RNA-seq analysis for long reads, classify long read amplicons for metagenomics.&lt;/p&gt;</video:description>
            <video:publication_date>2024-02-20T13:04:47+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5451</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc v24</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/94585713/exploring-rna-seq-data-using-the-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=94585713</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/94585713/4af8ca7f046af216bb7c9cbb68024b63/video_medium/exploring-rna-seq-data-using-the-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/94585713/4af8ca7f046af216bb7c9cbb68024b63/small/exploring-rna-seq-data-using-the-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Exploring RNA-seq data using the CLC Genomics Workbench: Expression Analysis and upload to Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;In this webinar, we will present how to analyze RNA-seq data starting from raw sequencing reads. We will touch upon expression analysis, statistical comparison, visualization and functional enrichment of RNA-seq data using an actual dataset and a live demo.&lt;br&gt;&lt;br&gt;During this webinar we will cover:&lt;br&gt;• Mapping of reads to the reference and abundance estimation&lt;br&gt;• Principal component analysis (PCA) of RNA-seq data&lt;br&gt;• Differential expression analysis&lt;br&gt;• Visualization of results using volcano plots, heatmaps and Venn diagrams&lt;br&gt;• Creating RNA-seq expression table and adding GO annotations&lt;br&gt;• Gene set enrichment analysis using hypergeometric test&lt;br&gt;• Ready-to-use Workflows for expression analysis&lt;br&gt;&lt;span&gt;• Upload to Ingenuity Pathway Analysis (IPA)&lt;/span&gt;&lt;br&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2024-02-15T10:03:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3803</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>rna-seq</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/94019829/ipa-deeper-dive-making-most-out-of-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=94019829</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/94019829/db43544da3a580448f7409b3686e5584/video_medium/ipa-deeper-dive-making-most-out-of-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/94019829/db43544da3a580448f7409b3686e5584/small/ipa-deeper-dive-making-most-out-of-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title> IPA deeper dive: Making most out of user’s core/expression analysis and new features</video:title>
            <video:description>Many of you who use QIAGEN Ingenuity Pathway Analysis (IPA) have requested a deeper dive into the IPA core analysis (also known as expression analysis), which is - performed on RNA-seq, scRNA-seq, proteomics and many other types of ‘omics data). You’ve specifically requested to cover topics like causal networks, regulator effects, etc., in more detail. That’s why we’ve designed this training to focus on these topics and more:&lt;br /&gt;
· What are the different result types of results produced by an IPA core analysis?&lt;br /&gt;
· What are the differences between causal network vs. mechanistic network vs. regulator effects?&lt;br /&gt;
· How do you predict molecular activity in IPA? What is a Z-score? · What is the new bubble plot feature?&lt;br /&gt;
· How can I edit, expand and modify the network the way I want it? For example, add a disease or gene(s) of interest, remove certain connections, etc?</video:description>
            <video:publication_date>2024-01-31T19:14:10+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5873</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/93995472/whats-new-in-qiagen-clc-genomics-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=93995472</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/93995472/3603b827a2fd7d0e02ab7f4ca2fb445d/video_medium/whats-new-in-qiagen-clc-genomics-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/93995472/3603b827a2fd7d0e02ab7f4ca2fb445d/small/whats-new-in-qiagen-clc-genomics-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>What’s new in QIAGEN CLC Genomics Workbench version 24</video:title>
            <video:description>QIAGEN CLC Genomics Workbench version 24 is here with exciting updates we'd like to share with you. These include:&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Our QIAGEN CLC LightSpeed Module which now provides ultrafast somatic workflows&lt;br&gt;
Spatial Transcriptomics and ParseBio support in QIAGEN CLC Single Cell Analysis Module&lt;br&gt;
Amplicon classification for ONT reads in QIAGEN CLC Microbial Genomics Module&lt;br&gt;
New Structural variant detection for long read and De novo assembly of PacBio HiFi reads&lt;br&gt;
Importer for Element, PacBio Onso, Ultima reads, Singular&lt;br&gt;
CRAM format importer / exporter&lt;br&gt;
Fancy new interactive RNAseq Volcano plot for RNAseq&lt;br&gt;
And many more new and improved workflow and reporting capabilities&lt;br&gt;
Join this webinar to:&lt;/p&gt;
&lt;p&gt;Learn how to take advantage of the latest improvements&lt;br&gt;
Get an overview of the many tools available to you&lt;br&gt;
Make sure to join this webinar to elevate your understanding of current trends in bioinformatics&lt;/p&gt;</video:description>
            <video:publication_date>2024-01-31T14:18:16+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1863</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc v24</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92574785/case-studies-real-world-examples-of</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92574785</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/92574785/e157d05444f1686c29b96cba1743b8ff/video_medium/case-studies-real-world-examples-of-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/92574785/e157d05444f1686c29b96cba1743b8ff/small/case-studies-real-world-examples-of-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Case studies: Real world examples of how labs can use HGMD Professional to mitigate errors in variant interpretation</video:title>
            <video:description>The clinical interpretation of genetic testing results remains one of the most significant hurdles in effectively applying genomics in modern medicine. Errors in variant interpretation, whether false positives or false negatives, can result in inappropriate medical interventions or missed opportunities for treatment. To mitigate the risks associated with variant misinterpretation, the professional genetics community has established guidelines for variant annotation. However, putting these guidelines into practice is difficult and time-consuming, requiring a meticulous process of gathering data and compiling evidence for each identified genetic variant and drawing information from various sources to assess its clinical significance. Therefore, the accuracy of variant annotation significantly relies on reputable and regularly updated reference databases that contain information about well-documented genetic variants and their clinical implications.
&lt;p&gt;Join Dr. Ana Krivokuca, The Head of the Department of Genetic Counselling at the Institute of Oncology and Radiology Serbia, as she presents a case study webinar on how to use the Human Gene Mutation Database (HGMD) Professional, a comprehensive, diverse, meticulously annotated and regularly updated resource for finding disease-causing mutations, for multiple clinical genetic testing applications.&lt;/p&gt;
&lt;p&gt;In this webinar, attendees:&lt;/p&gt;
&lt;p&gt;Examine three neurological disorder case studies of how to use HGMD Professional to link phenotypes to causative variants, identify and interpret clinically relevant variants, discover ethnically relevant variants, and develop gene panels.&lt;br&gt;
Learn how HGMD Professional is maintained by a team of expert curators and updated every three months.&lt;br&gt;
Hear a real-life story of how HGMD Professional can help prevent misdiagnoses with an example of variant misclassification causing inappropriate and devastating medical intervention.&lt;/p&gt;</video:description>
            <video:publication_date>2024-01-17T18:35:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3273</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>hgmd</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92574763/sanger-sequencing-alignment-cloning</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92574763</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/92574763/1246c35c363a3e02f90e1609fbaf895c/video_medium/sanger-sequencing-alignment-cloning-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/92574763/1246c35c363a3e02f90e1609fbaf895c/small/sanger-sequencing-alignment-cloning-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Sanger sequencing, alignment, cloning, primer design and more using QIAGEN CLC Main and Genomics Workbench software</video:title>
            <video:description>If you're a QIAGEN CLC Main and/or Genomics Workbench user, or interested in learning about the below analytics, you won't want to miss this training:
&lt;p&gt;• Alignment and tree construction&lt;br&gt;
• Sanger sequencing analysis&lt;br&gt;
• Cloning and primer design&lt;br&gt;
• Other molecular biology tools&lt;/p&gt;</video:description>
            <video:publication_date>2024-01-17T18:34:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5763</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>genomics workbench</video:tag>
            <video:tag>main workbench</video:tag>
            <video:tag>sanger</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92531299/batch-renaming-files-in-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92531299</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/92531299/40c631ac429c56ea86616cb99e7d4f97/video_medium/batch-renaming-files-in-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/92531299/40c631ac429c56ea86616cb99e7d4f97/small/batch-renaming-files-in-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Batch Renaming Files in CLC Workbench</video:title>
            <video:description>Add/remove characters from element names or replace parts of names, optionally using regular expressions.</video:description>
            <video:publication_date>2024-01-16T14:10:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>265</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92531265/convert-legacy-qiaseq-custom</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92531265</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/92531265/a6c56482bc3e5d522e54fa3b90fcb581/video_medium/convert-legacy-qiaseq-custom-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/92531265/a6c56482bc3e5d522e54fa3b90fcb581/small/convert-legacy-qiaseq-custom-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Convert Legacy QIAseq Custom Analyses to v24 with QIAseq Panel Analysis Assistance</video:title>
            <video:description>Custom analyses created with the Analyze QIAseq Samples tool in versions 23.x and earlier&amp;nbsp;are no longer supported from version 24 onwards. The tool Convert Legacy QIAseq Custom Analyses&amp;nbsp;helps converting custom analyses by creating custom sets and/or pre-configured workflow copies.&amp;nbsp;</video:description>
            <video:publication_date>2024-01-16T14:09:13+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>398</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
            <video:tag>qiaseq panels tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92278471/qiaseq-panel-analysis-assistance-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92278471</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/92278471/c37706326f2b49ff7fdfdc4339cb8ff7/video_medium/qiaseq-panel-analysis-assistance-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/92278471/c37706326f2b49ff7fdfdc4339cb8ff7/small/qiaseq-panel-analysis-assistance-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAseq Panel Analysis Assistance for Standard QIAseq Panels</video:title>
            <video:description>Introduction to QIAseq Panel Analysis Assistant for Workbench 24 onwards.&lt;p&gt;&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;How to use the QIAseq Panel Analysis Assistant&lt;/li&gt;&lt;li&gt;
Selecting available preconfigured analyses workflows&lt;/li&gt;&lt;li&gt;
Run a QIAseq Panel Analysis&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2024-01-08T17:22:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>532</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
            <video:tag>qiaseq panels tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92278468/qiaseq-panel-analysis-assistance</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92278468</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/92278468/fb39879389ea7ea1c4c48dd4050379c2/video_medium/qiaseq-panel-analysis-assistance-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/92278468/fb39879389ea7ea1c4c48dd4050379c2/small/qiaseq-panel-analysis-assistance-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAseq Panel Analysis Assistance for Custom QIAseq Panels</video:title>
            <video:description>For custom QIAseq panels, custom files have to be used instead of some standard Reference data elements. By using a suitable analysis workflow from the QIAseq Panel Analysis Assistant, data from custom QIAseq  panels/kits can be analyzed by:
&lt;ul&gt;&lt;li&gt;Creating a custom reference data containing the imported elements.&lt;/li&gt;&lt;li&gt;
Using a workflow copy configured to use these imported elements.&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;If you are new to the QIAseq Panel Analysis Assistance, please watch the "QIAseq Panel Analysis Assistance for Standard QIAseq Panels" video tutorial first.&lt;/p&gt;</video:description>
            <video:publication_date>2024-01-08T17:22:40+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>455</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
            <video:tag>qiaseq panels tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92144326/overview-of-result-files-created-by</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92144326</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/92144326/431f35a2ee97769143174805d3e8fd19/video_medium/overview-of-result-files-created-by-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/92144326/431f35a2ee97769143174805d3e8fd19/small/overview-of-result-files-created-by-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Overview of Result Files Created by QIAseq DNA Workflows</video:title>
            <video:description>This video provides an overview of the result files obtained when running the "Identify QIASeq DNA Somatic Variants" workflow. How to run the workflow is outlined in the tutorial &lt;a href="https://resources.qiagenbioinformatics.com/tutorials/qiaseq_panelsv3.pdfhttp://"&gt;Find Actionable Variants With QIASeq Panels&lt;/a&gt;.</video:description>
            <video:publication_date>2024-01-03T13:19:42+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>740</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92144298/modification-of-workflows-in-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92144298</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/92144298/caeb8ac0dcf2216c06e9e1f9f19930bb/video_medium/modification-of-workflows-in-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/92144298/caeb8ac0dcf2216c06e9e1f9f19930bb/small/modification-of-workflows-in-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Modification of Workflows in CLC Genomics Workbench - Part 1</video:title>
            <video:description>While existing workflows (e.q. Template Workflows) provide a good starting point for data analysis, it is commonly required to tailor data analysis towards specific needs. How parameters can be modified is discussed in this video.</video:description>
            <video:publication_date>2024-01-03T13:19:02+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>386</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92144259/making-use-of-workflow-snippets</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92144259</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/92144259/724b69d38642769c86dc0e50dc7c35c9/video_medium/making-use-of-workflow-snippets-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/92144259/724b69d38642769c86dc0e50dc7c35c9/small/making-use-of-workflow-snippets-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Making Use of Workflow Snippets</video:title>
            <video:description>Different workflows can share a sequence of connected tools between them. To speed up the creation of new workflows, workflow fragments can be stored in snippets and reused.</video:description>
            <video:publication_date>2024-01-03T13:18:42+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>453</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92144254/modification-of-workflows-in-clc-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92144254</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/92144254/80282e80b11498de2ed1925a9ead4264/video_medium/modification-of-workflows-in-clc-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/92144254/80282e80b11498de2ed1925a9ead4264/small/modification-of-workflows-in-clc-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Modification of Workflows in CLC Genomics Workbench - Part 2</video:title>
            <video:description>Additional modification options for existing workflows include the removal/addition of tools as well as output files in a workflow. This is the focus of this video.</video:description>
            <video:publication_date>2024-01-03T13:18:34+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>397</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92144250/how-to-create-an-analysis-workflow</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92144250</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/92144250/51cb7c1c8885afcdaeeebf1395355d34/video_medium/how-to-create-an-analysis-workflow-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/92144250/51cb7c1c8885afcdaeeebf1395355d34/small/how-to-create-an-analysis-workflow-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to Create an Analysis Workflow in CLC Genomics Workbench</video:title>
            <video:description>Creating analysis pipelines for automation and standardization using the Workflow Editor.</video:description>
            <video:publication_date>2024-01-03T13:18:30+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>392</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92144247/introduction-to-workflows-in-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92144247</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/92144247/77f01d4d3c190534dbb004b4c97f760c/video_medium/introduction-to-workflows-in-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/92144247/77f01d4d3c190534dbb004b4c97f760c/small/introduction-to-workflows-in-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Introduction to Workflows in CLC Genomics Workbench</video:title>
            <video:description>Introduction to Workflows for the graphical user interface guided construction of bioinformatics analysis pipelines.</video:description>
            <video:publication_date>2024-01-03T13:18:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>262</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/92144231/importing-illumina-reads-into-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=92144231</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/92144231/bf75395dc646ab1d5239248775420822/video_medium/importing-illumina-reads-into-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/92144231/bf75395dc646ab1d5239248775420822/small/importing-illumina-reads-into-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Importing Illumina Reads into CLC Genomics Workbench</video:title>
            <video:description>Importing single and paired end reads. If the organization of Illumina files for import does is not the default, customization of the import is possible using the Custom read structure field.</video:description>
            <video:publication_date>2024-01-03T13:18:07+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>537</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/91808833/target-exploration-and-cell-line-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=91808833</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/91808833/c1f8debd394b4c5114d97a1e68f1af00/video_medium/target-exploration-and-cell-line-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/91808833/c1f8debd394b4c5114d97a1e68f1af00/small/target-exploration-and-cell-line-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Target exploration and cell line selection for drug discovery</video:title>
            <video:description>Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery.&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
During this 90-minute discussion, we'll explore how you can use these software tools to:&lt;br&gt;
• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research and more&lt;br&gt;
• Examine various 'omics data for genes of interest for expression, mutation, hotspots and gene dependency data&lt;br&gt;
• Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to the drug target identification&lt;br&gt;
• Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)&lt;br&gt;
• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
Our system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.</video:description>
            <video:publication_date>2023-12-18T12:11:18+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5471</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/91808812/rna-seq-data-analysis-and-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=91808812</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/91808812/35c5017d4682478d04f8b1ca50c07661/video_medium/rna-seq-data-analysis-and-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/91808812/35c5017d4682478d04f8b1ca50c07661/small/rna-seq-data-analysis-and-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title> RNA-seq data analysis and interpretation with Sankey plot update</video:title>
            <video:description>During this 120-minute training, we’ll teach you how to easily analyze and interpret RNA-seq data using QIAGEN CLC Genomics Workbench and QIAGEN Ingenuity Pathway Analysis (IPA) software.&lt;/p&gt;
&lt;p&gt;For RNA-seq data, you will learn how to:&lt;br /&gt;
• Import FASTQ files, cell-matrix files and metadata and how to download references&lt;br /&gt;
• Map reads to a reference genome and generate gene and transcript counts and QC reports displaying % mapped reads, knee plots, etc.&lt;br /&gt;
• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, sankey plot and others&lt;br /&gt;
• Easily customize RNA-seq workflows&lt;br /&gt;
• Export publication-quality graphics, tables and reports&lt;br /&gt;
• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways</video:description>
            <video:publication_date>2023-12-18T12:10:51+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5686</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/91808655/how-to-perform-dna-seq-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=91808655</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/91808655/c6e71cc45d0445bd19ab6bf7dd6fbc20/video_medium/how-to-perform-dna-seq-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/91808655/c6e71cc45d0445bd19ab6bf7dd6fbc20/small/how-to-perform-dna-seq-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title> How to perform DNA-seq and resequencing data analyses using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>In this webinar, we’ll introduce algorithms required to perform data analysis for resequencing next-generation sequencing data. Together, we’ll explore:&lt;/p&gt;
&lt;p&gt;• Read mapper&lt;br /&gt;
• Variant callers&lt;br /&gt;
• Annotations and filters&lt;br /&gt;
• Genome Browser</video:description>
            <video:publication_date>2023-12-18T12:05:50+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3322</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>dna-seq</video:tag>
            <video:tag>ngs</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/91634113/translating-cosmics-gold-standard</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=91634113</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/91634113/aecd324a715834fb2024dcf9439022e5/video_medium/translating-cosmics-gold-standard-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/91634113/aecd324a715834fb2024dcf9439022e5/small/translating-cosmics-gold-standard-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Translating COSMIC's gold standard data into actionable insights</video:title>
            <video:description>&lt;p&gt;As the vast landscape of genetic oncology continues to expand, the ability to understand and utilize the full potential of this rich data becomes increasingly challenging. As a result, researchers, scientists, and clinicians need an accessible, streamlined and standardized way of keeping track of this potentially crucial, ever-growing body of actionable knowledge. Over the course of 20 years, COSMIC, the Catalogue Of Somatic Mutations In Cancer, has expertly curated the world’s largest, most comprehensive database for somatic mutation information relating to human cancer. Today, COSMIC is used worldwide by revered research and clinical institutes, biotech and pharmaceutical companies, and more.&amp;nbsp;&lt;/p&gt;&lt;p&gt;In this webinar, Leonie Hodges, Scientific Communications Officer for COSMIC, will delve into the wide range of datasets that COSMIC offers, detailing the content, how to obtain actionable insights from the genomic data, and how to potentially use this data for real-world applications. Following the talk, there will be a live Q&amp;amp;A with Jennifer Wilding, Scientist Curator at COSMIC and Alex Holmes, Senior Database Curator at COSMIC.&amp;nbsp;&lt;/p&gt;</video:description>
            <video:publication_date>2023-12-12T20:59:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2542</video:duration>
            <video:category>COSMIC</video:category>
            <video:tag>cosmic</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/91490017/mining-curated-knowledge-graphs-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=91490017</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/91490017/24778ce45bbf9f4489e827e8cbcb68b2/video_medium/mining-curated-knowledge-graphs-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/91490017/24778ce45bbf9f4489e827e8cbcb68b2/small/mining-curated-knowledge-graphs-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Mining curated knowledge graphs and validating with experimental datasets to accelerate your drug target discovery</video:title>
            <video:description>&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;In an era of near-limitless public experimental data but little standardization, meaningful insights are lost to noise. Large collections of quality experimental data are essential for big-picture discoveries that stand up to scrutiny.&lt;br&gt;&lt;br&gt;In this webinar, you will learn how to feed your drug discovery programs by integrating connections mined from QIAGEN Biomedical Knowledge Base with deeply-curated disease datasets from QIAGEN OmicSoft Lands.&lt;br&gt;&lt;br&gt;Combining unified 'omics datasets with contextual relationship evidence from our knowledge graph, we will address complex questions such as:&lt;br&gt;• Which genes aren't expressed in normal tissue, yet are expressed in diseases of interest, based on experimental evidence?&lt;br&gt;• Which of these proteins are cell surface proteins, with evidence for extracellular localization?&lt;br&gt;• How are these proteins related directly or indirectly to disease pathways, and can these be connected to known drug targets?&lt;br&gt;• Can we identify correlated biomarkers, mutation targets, clinical factors or other means of cohort selection?&lt;br&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2023-12-08T18:18:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3582</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>drug discovery</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/91450842/how-clinical-labs-can-confidently</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=91450842</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/91450842/40150502abeaedb01be9e50b619642cc/video_medium/how-clinical-labs-can-confidently-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/91450842/40150502abeaedb01be9e50b619642cc/small/how-clinical-labs-can-confidently-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How clinical labs can confidently assess cancer-associated variants with real-world data and expert-curated genomic evidence</video:title>
            <video:description>Across various stages of the clinical oncology workflow, from panel design to genomic testing and molecular tumor boards, the identification and validation of actionable genomic alterations is critical. The advent of next-generation sequencing (NGS) has led to an exponential increase in the number of variants detected in tumor testing, posing a challenge for clinical cancer genetics professionals seeking to confidently discern clinically relevant mutations that can guide patient care decisions.&lt;/p&gt;
&lt;p&gt;Join Dr. Umadevi Thirumurthi, Associate Director of Global Product Management for Oncology at QIAGEN Digital Insights as she discusses how the Human Somatic Mutation Database (HSMD), an expert-curated somatic variant database, can enhance your clinical NGS workflow.</video:description>
            <video:publication_date>2023-12-07T14:05:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2733</video:duration>
            <video:category>HSMD</video:category>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/91344327/qiagen-clc-genomics-workbench-for</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=91344327</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/91344327/d8171a98a9236021a61c591249fc2a53/video_medium/qiagen-clc-genomics-workbench-for-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/91344327/d8171a98a9236021a61c591249fc2a53/small/qiagen-clc-genomics-workbench-for-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN CLC Genomics Workbench for your miRNA data analyses</video:title>
            <video:description>Join us for our webinar, where we‘ll focus on miRNA data analysis using QIAGEN CLC Genomics Workbench and Biomedical Genomics Analysis plugin. Together, we‘ll explore how you can:&lt;br /&gt;
• Import reads and metadata&lt;br /&gt;
• Download miRBase database&lt;br /&gt;
• Quantify miRNA expression&lt;br /&gt;
• Perform differential expression analysis&lt;br /&gt;
• Visualize your results&lt;br /&gt;
• Create and use a custom database</video:description>
            <video:publication_date>2023-12-05T14:10:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3615</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>mirna</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/91151320/07-qiagen-ipa7-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=91151320</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/91151320/48ee1b654024a24177c7b0d5a0aeeaf5/video_medium/07-qiagen-ipa7-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/91151320/48ee1b654024a24177c7b0d5a0aeeaf5/small/07-qiagen-ipa7-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>07. QIAGEN IPAチュートリアル7 パスウエイ解析</video:title>
            <video:description>既知のどのようなパスウエイの活性化、不活化にアップロードしたデータが寄与しているか等既知のバスウエイと自分のデータとの関連が調べられます。またActivity Plot により、公開されている約15万の実験結果で特定のパスウエイが活性化されているかの情報も得られます。</video:description>
            <video:publication_date>2023-11-29T06:51:12+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>513</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/90832127/discovery-from-public-data-geo-sra</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=90832127</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/90832127/187229708ba26eed5382f7d00d2543e7/video_medium/discovery-from-public-data-geo-sra-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/90832127/187229708ba26eed5382f7d00d2543e7/small/discovery-from-public-data-geo-sra-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discovery from public data (GEO, SRA and more) using Ingenuity Pathway Analysis</video:title>
            <video:description>Per user feedback, we are hosting a comprehensive training on how to effectively use sample level public data and metadata from sources like GEO, SRA, TCGA, GTEx, Blueprint, CCLE and other sources through Ingenuity Pathway Analysis (IPA) and IPA Analysis Match Explorer feature. The trainer will walk through usecases in realms of biomarker discovery, drug target investigation, studying survival in custom patient cohorts, multi-gene correlation and more.&lt;br /&gt;
Note: The word “condition” below refers to different diseases, disease subtypes, treatments, cell types, cell lines and more.&lt;br /&gt;
This training will cover topics like&lt;br /&gt;
• How is a gene of interest expressed across different conditions?&lt;br /&gt;
• Is there correlation in expression for two genes or biomarkers of user interest for a given condition?&lt;br /&gt;
• For a given condition of interest, can we derive a list of genes (example genes specific to a disease, treatment or cell type)?&lt;br /&gt;
• Can we generate custom cohorts of patients (example TP53 wt vs mutant or PDCD1 high vs low expression) and then generate survival curves representing those cohorts? Can we generate p-value to see if there is significant difference?&lt;br /&gt;
• Recent update: Can we detect expression of a gene in different cell types from single cell data?</video:description>
            <video:publication_date>2023-11-20T17:51:05+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5517</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>IPA</video:tag>
            <video:tag>public data</video:tag>
            <video:tag>SRA</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/90758944/easily-process-your-fastq-files</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=90758944</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/90758944/8470c5d45e32fc5b0dc939028a0069d5/video_medium/easily-process-your-fastq-files-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/90758944/8470c5d45e32fc5b0dc939028a0069d5/small/easily-process-your-fastq-files-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Easily process your FASTQ files</video:title>
            <video:description>Do you ever get stuck processing raw FASTQ data or cell matrix data from your RNA-seq, scRNA-seq or other NGS assays using? Are you interested in creating a differential expression table that’s compatible with the QIAGEN Ingenuity Pathway Analysis (IPA) software you use? In this training, you’ll learn how to use QIAGEN CLC Genomics Workbench to easily process your FASTQ files and generate differential expression tables without using command line tools. We’ll also explore how you can generate other desired outputs, such as volcano plots, heatmaps, PCA/PCOA plots and more.</video:description>
            <video:publication_date>2023-11-17T13:47:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5451</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>fastq</video:tag>
            <video:tag>ipa tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/90542138/part-2-ai-powered-hereditary</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=90542138</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/90542138/12f4cb5889b569104cf1f1998f89d8a6/video_medium/part-2-ai-powered-hereditary-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/90542138/12f4cb5889b569104cf1f1998f89d8a6/small/part-2-ai-powered-hereditary-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Part 2: AI-Powered Hereditary Disease Diagnostics: Closing the Gap in Clinical Exome Completeness</video:title>
            <video:description>Clinical exome sequencing (CES) is increasingly being adopted by small and mid-sized laboratories to diagnose genetic diseases, aid treatment decisions, and provide prognostic information. However, the exponential increase in genetic data generated from exome and genome panels poses significant workflow challenges. The ability to prioritize potentially pathogenic variants from large datasets and identify the few candidate variants becomes more difficult. This issue is further amplified in cases where labs must use deep phenotyping of patients and compare that to reference genotype-phenotype knowledge associated with each candidate variant. To overcome these challenges, labs are beginning to implement Artificial Intelligence (AI) in their variant analysis, interpretation and reporting workflows.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Join us for our 2023 Clinical Hereditary Disease Diagnostics Summit, a free-to-attend, two-part event exploring the opportunities and limitations of AI in hereditary disease diagnostics. Designed to help clinical diagnostic labs learn how to safely apply AI to exome and genome sequencing workflows, the content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of hereditary disease diagnostics, as well as educational presentations on the latest databases and AI-powered software for germline secondary and tertiary analysis.&lt;/p&gt;
&lt;p&gt;Part II: Roundtable discussion with genomics experts – November 9, 2023&lt;/p&gt;
&lt;p&gt;A panel discussion featuring experts in the field of clinical genomics that will explore the challenges and opportunities in the future of inherited disease diagnostic testing.&lt;/p&gt;
&lt;p&gt;For the list of speakers and session information, visit our event page here.&lt;/p&gt;</video:description>
            <video:publication_date>2023-11-10T13:58:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3147</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>AI</video:tag>
            <video:tag>hereditary</video:tag>
            <video:tag>hereditary ngs summit</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/90542105/how-to-scale-up-comprehensive</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=90542105</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/90542105/4ca578ccb90ac667eb6431046879a999/video_medium/how-to-scale-up-comprehensive-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/90542105/4ca578ccb90ac667eb6431046879a999/small/how-to-scale-up-comprehensive-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to scale-up comprehensive genomic profiling and deliver confident variant interpretations with QCI Interpret for Oncology</video:title>
            <video:description>As gene panels increase in size, comprehensive genomic profiling and variant interpretation becomes more complex and time-consuming, which places tremendous burden on labs needing to scale and grow case volume. QIAGEN Clinical Insight (QCI) Interpret for Oncology is a clinical decision support platform powered by augmented molecular intelligence that enables rapid, evidence-powered comprehensive genomic profiling at scale. QCI Interpret for Oncology is supported by the world’s most comprehensive, manually curated knowledge base and dynamically computes variant classifications according to AMP/ASCO/CAP and ACMG/AMP guidelines with transparency. Users also get access to over 500,000 pre-formulated, oncologist-reviewed variant interpretation summaries and can build customizable, oncologist-ready reports with the latest diagnostic and prognostic information, as well as biomarker-directed therapeutic information and clinical trial recommendations. With its latest release, QCI Interpret for Oncology adds several new capabilities that further enhances the platform’s scalability and flexibility, and enables users to significantly reduce variant research and review time.
&lt;p&gt;In this webinar, attendees will learn how QCI Interpret for Oncology enables you to:&lt;/p&gt;
&lt;p&gt;Navigate from VCF to final report with speed, precision, and confidence;&lt;br&gt;
Easily issue report addendums without the need for re-running a VCF;&lt;br&gt;
Streamline structural variant filtering based on user set thresholds and hence reduce the time and effort needed to eliminate noise and identify truly relevant variants for reporting;&lt;br&gt;
Utilize built-in AI capabilities to identify all the literature, case reports, drug therapies, and clinical studies relevant to a patient’s tumor type with just one-click.&lt;/p&gt;</video:description>
            <video:publication_date>2023-11-10T13:57:20+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3600</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>qci interpret</video:tag>
            <video:tag>SWAN</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/90244909/the-epididymis-balancing-the-burden</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=90244909</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/90244909/77566ec40253ba273d48f0b50cf33d90/video_medium/the-epididymis-balancing-the-burden-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/90244909/77566ec40253ba273d48f0b50cf33d90/small/the-epididymis-balancing-the-burden-thumbnail.jpg</video:thumbnail_loc>
            <video:title>The epididymis: Balancing the burden and responsibility of fertility</video:title>
            <video:description>The responsibility of fertility is disproportionately placed on women, who bear most of the health, emotional and financial burdens. Infertility is rapidly rising, with one in six Australian couples seeking assisted reproductive technologies to help them start a family, and over 50% of cases involving a male factor. Despite these contributions, we still don’t fully understand the mechanisms that create competent sperm for fertilization, which occurs during their transit from the epididymis, a highly specialized region of the male reproductive tract.
&lt;p&gt;To address this knowledge gap, we used high-resolution tandem mass spectrometry and in-silico analyses to characterize proteome-wide changes in mouse sperm. We studied changes associated with their transit through the epididymis and elicited in response to capacitation stimuli, such as maturation initiated upon contact with the female reproductive tract.&lt;/p&gt;
&lt;p&gt;In this webinar, you’ll learn about:&lt;/p&gt;
&lt;p&gt;The unprecedented depth of &amp;gt;6000 proteins and 14,586 site-specific phosphorylation events across these sperm populations that we discovered using QIAGEN Ingenuity Pathway Analysis (IPA)&lt;br&gt;
How sperm shed over 56% of their proteins during this process, producing a refined fertilization-competent cell&lt;br&gt;
How this reduced proteomic complexity of sperm coincides with the activation of certain functions, such as sperm motility and capacitation&lt;br&gt;
Key proteins and kinases we identified through selective pharmacological inhibition that regulate sperm function&lt;br&gt;
The role of RHOA on mature spermatozoa to reduce the rate of acrosome reaction by about 40%&lt;br&gt;
Our data represent an essential paradigm shift in our understanding of male fertility regulation. They will contribute to important advancements in developing non-hormonal male contraceptives and robust sperm selection biomarkers for infertile men.&lt;/p&gt;</video:description>
            <video:publication_date>2023-11-03T15:04:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2257</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>kol</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/90244096/rna-seq-analysis-portal-analysis</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=90244096</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/90244096/749a7a4a8f7e900ef3189e6fcbfc5f8e/video_medium/rna-seq-analysis-portal-analysis-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/90244096/749a7a4a8f7e900ef3189e6fcbfc5f8e/small/rna-seq-analysis-portal-analysis-thumbnail.jpg</video:thumbnail_loc>
            <video:title> RNA-seq Analysis Portal - Analysis of QIAseq miRNA datasets</video:title>
            <video:description>In this webinar, we will introduce how to analyze and explore your QIAseq miRNA data in RNA-seq Analysis Portal.&lt;br /&gt;
During the webinar, we will answer the following questions:&lt;/p&gt;
&lt;p&gt;• Which sample kits are supported by RNA-seq Analysis Portal?&lt;br /&gt;
• How to upload your data to RNA-seq Analysis Portal?&lt;br /&gt;
• How to start an analysis?&lt;br /&gt;
• How to create a project?&lt;br /&gt;
• How to create an experiment for differential expression?&lt;br /&gt;
• How to inspect your experiment and quality control of your dataset?&lt;br /&gt;
• How to view and filter differential expression results?&lt;br /&gt;
• How to export your results?</video:description>
            <video:publication_date>2023-11-03T14:44:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3067</video:duration>
            <video:category>Discovery and Research</video:category>
            <video:tag>miRNA</video:tag>
            <video:tag>RAP</video:tag>
            <video:tag>RNA-seq Analysis Portal</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/90143678/real-world-applications-of-clinical</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=90143678</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/90143678/f4c92d12d78593340ebc591b1f125f0c/video_medium/real-world-applications-of-clinical-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/90143678/f4c92d12d78593340ebc591b1f125f0c/small/real-world-applications-of-clinical-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Real-World Applications of Clinical Metagenomic Sequencing in Cancer and Infectious Disease Diagnostics</video:title>
            <video:description>Clinical metagenomic next-generation sequencing (mNGS), the comprehensive analysis of microbial and host DNA and RNA in samples from patients, is rapidly moving from research to clinical laboratories. This emerging approach is changing the diagnosis and treatment of diseases, with applications in a range of areas, including oncology, human host gene expression (transcriptomics), and antimicrobial infections and resistance.
&lt;p&gt;In this webinar, Elif Dagdan, the director of the Center for Medical Genetics at Augusta Hospital Bochum in Bochum, Germany, will discuss real-world applications of using clinical mNGS to improve diagnostics of cancer and infectious diseases. The talk will also feature challenges and opportunities of using mNGS in disease diagnostics and how Dagdan’s lab uses clinical variant interpretation and reporting software from Qiagen to detect and characterize pathogenic somatic variants.&lt;/p&gt;
&lt;p&gt;Dagdan will discuss:&lt;/p&gt;
&lt;p&gt;How mNGS can be used to assess homologous recombination deficiency (HRD) status in patients with ovarian cancer.&lt;br&gt;
How mNGS can be used to assess cell-free microbial DNA via liquid biopsy to aid in early-stage lung cancer diagnosis.&lt;br&gt;
How mNGS can improve the accuracy and speed of infectious disease diagnostics, with a use-case on cardiovascular infections in intensive care units.&lt;/p&gt;</video:description>
            <video:publication_date>2023-10-31T13:24:14+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3648</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>highlighted</video:tag>
            <video:tag>mNGS</video:tag>
            <video:tag>oncology</video:tag>
            <video:tag>Real-World</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/90052854/whats-new-in-qiagen-ipa-fall</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=90052854</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/90052854/1088c3aa728fbfd61d1114a898eebabc/video_medium/whats-new-in-qiagen-ipa-fall-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/90052854/1088c3aa728fbfd61d1114a898eebabc/small/whats-new-in-qiagen-ipa-fall-thumbnail.jpg</video:thumbnail_loc>
            <video:title>What’s new in QIAGEN IPA Fall Release 2023?</video:title>
            <video:description>Interested in learning about new features and functionalities that have been added to IPA lately?&lt;br&gt;
During this webinar, we will highlight the updates from the QIAGEN IPA Fall Release and from previous releases from this year. Topics, amongst others, will be&lt;br&gt;
• Newly added findings and pathways&lt;br&gt;
• Reactome pathways&lt;br&gt;
• Artificial intelligence approves to pathways&lt;br&gt;
• More precise matches in Analysis Match&lt;br&gt;
• Cell type prediction&lt;br&gt;
• New queueing view for checking your analysis status</video:description>
            <video:publication_date>2023-10-27T13:52:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3841</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>ipa tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89989806/multi-omics-metabolomics-proteomics</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89989806</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/89989806/cd6ca7e10d1b91d0ec08f237874cc57d/video_medium/multi-omics-metabolomics-proteomics-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/89989806/cd6ca7e10d1b91d0ec08f237874cc57d/small/multi-omics-metabolomics-proteomics-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>This 90-minute training session is about how QIAGEN Ingenuity Pathway Analysis (IPA) allows visualization of molecular intricacy and variations at multiple levels such as transcriptome, proteome, and metabolome. Through a series of brief technical vignettes, it is demonstrated how to:&lt;/p&gt;
&lt;p&gt;· Generate associations among molecular signatures obtained via integrating multi-omics data&lt;/p&gt;
&lt;p&gt;· Extract mechanisms from multi-omics data for precision medicine&lt;/p&gt;
&lt;p&gt;· Disease stratification based on multi-omics profiles&lt;/p&gt;
&lt;p&gt;· Map disease networks among targets and indications</video:description>
            <video:publication_date>2023-10-25T18:43:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5499</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>multi-omics</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89980849/circulating-tumor-cell-detection</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89980849</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/89980849/67a2fe67a34275513d744a4d0e42c0bd/video_medium/circulating-tumor-cell-detection-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/89980849/67a2fe67a34275513d744a4d0e42c0bd/small/circulating-tumor-cell-detection-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Circulating Tumor Cell Detection and Analysis to Support Malignancy Designation, Tumor-of-Origin Identification, and Treatment Selection</video:title>
            <video:description>Circulating tumor cells (CTCs) are cells that leave the primary tumor and are intravasated into the blood circulation system. A subset of those make it to other organs and are responsible for metastasis. iCellate’s CellMate platform is a CTC-based liquid biopsy for cancer cell enrichment, detection, and biomarker analysis via a simple blood draw.&lt;/p&gt;
&lt;p&gt;In this seminar, you’ll learn:&lt;/p&gt;
&lt;p&gt;From Helena Silva Cascales, senior scientist at iCellate Medical AB, how the isolation of whole-tumor cells provides a more comprehensive biomarker analysis, including genomic sequencing and multiplexed protein expression analysis.&lt;br /&gt;
From Kashyap Dave, principal scientist at iCellate Medical AB, how DNA from single CTCs can be amplified, sequenced, and analyzed to support malignancy designation and tissue of origin identification using classification analyses under development within Qiagen CLC Genomics Workbench.</video:description>
            <video:publication_date>2023-10-25T14:10:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2603</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>iCellate</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89839701/closing-the-gap-in-clinical-exome-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89839701</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/89839701/d68c04fa591eea4b57f358238dda981c/video_medium/closing-the-gap-in-clinical-exome-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/89839701/d68c04fa591eea4b57f358238dda981c/small/closing-the-gap-in-clinical-exome-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Closing the Gap in Clinical Exome Completeness - Part 1 - EU</video:title>
            <video:description>Clinical exome sequencing (CES) is increasingly being adopted by small and mid-sized laboratories to diagnose genetic diseases, aid treatment decisions, and provide prognostic information. However, the exponential increase in genetic data generated from exome and genome panels poses significant workflow challenges. The ability to prioritize potentially pathogenic variants from large datasets and identify the few candidate variants becomes more difficult. This issue is further amplified in cases where labs must use deep phenotyping of patients and compare that to reference genotype-phenotype knowledge associated with each candidate variant. To overcome these challenges, labs are beginning to implement Artificial Intelligence (AI) in their variant analysis, interpretation and reporting workflows.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Join us for our 2023 Clinical Hereditary Disease Diagnostics Summit, a free-to-attend, two-part event exploring the opportunities and limitations of AI in hereditary disease diagnostics. Designed to help clinical diagnostic labs learn how to safely apply AI to exome and genome sequencing workflows, the content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of hereditary disease diagnostics, as well as educational presentations on the latest databases and AI-powered software for germline secondary and tertiary analysis.&lt;/p&gt;
&lt;p&gt;Part I: Educational talks – October 12, 2023&lt;/p&gt;
&lt;p&gt;An education session exploring the latest databases, software, and services for germline secondary and tertiary NGS analysis. Topics will include:&lt;/p&gt;
&lt;p&gt;How labs can achieve clinical exome completeness with AI-enriched and manually curated content&lt;br&gt;
How labs can apply enhanced phenotype-driven ranking in clinical cases&lt;br&gt;
How labs can safely use a “smart” approach to AI to reach the best possible chance of reaching a diagnosis&lt;/p&gt;</video:description>
            <video:publication_date>2023-10-20T17:08:00+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>7115</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>2023 Clinical Hereditary Disease Diagnostics Summit</video:tag>
            <video:tag>artificial intelligence</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89839695/closing-the-gap-in-clinical-exome</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89839695</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/89839695/70795a392f7be13bb387ed0e08928a09/video_medium/closing-the-gap-in-clinical-exome-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/89839695/70795a392f7be13bb387ed0e08928a09/small/closing-the-gap-in-clinical-exome-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Closing the Gap in Clinical Exome Completeness - Part 1 - NA</video:title>
            <video:description>Clinical exome sequencing (CES) is increasingly being adopted by small and mid-sized laboratories to diagnose genetic diseases, aid treatment decisions, and provide prognostic information. However, the exponential increase in genetic data generated from exome and genome panels poses significant workflow challenges. The ability to prioritize potentially pathogenic variants from large datasets and identify the few candidate variants becomes more difficult. This issue is further amplified in cases where labs must use deep phenotyping of patients and compare that to reference genotype-phenotype knowledge associated with each candidate variant. To overcome these challenges, labs are beginning to implement Artificial Intelligence (AI) in their variant analysis, interpretation and reporting workflows.
&lt;p&gt;Join us for our 2023 Clinical Hereditary Disease Diagnostics Summit, a free-to-attend, two-part event exploring the opportunities and limitations of AI in hereditary disease diagnostics. Designed to help clinical diagnostic labs learn how to safely apply AI to exome and genome sequencing workflows, the content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of hereditary disease diagnostics, as well as educational presentations on the latest databases and AI-powered software for germline secondary and tertiary analysis.&lt;/p&gt;
&lt;p&gt;Part I: Educational talks – October 12, 2023&lt;/p&gt;
&lt;p&gt;An education session exploring the latest databases, software, and services for germline secondary and tertiary NGS analysis. Topics will include:&lt;/p&gt;
&lt;p&gt;How labs can achieve clinical exome completeness with AI-enriched and manually curated content&lt;br&gt;
How labs can apply enhanced phenotype-driven ranking in clinical cases&lt;br&gt;
How labs can safely use a “smart” approach to AI to reach the best possible chance of reaching a diagnosis&lt;/p&gt;</video:description>
            <video:publication_date>2023-10-20T17:07:27+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5642</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>2023 Clinical Hereditary Disease Diagnostics Summit</video:tag>
            <video:tag>artificial intelligence</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89808191/modification-of-custom-reference</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89808191</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/89808191/50d65ce5a82555ce8b2bdcf5728b1709/video_medium/modification-of-custom-reference-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/89808191/50d65ce5a82555ce8b2bdcf5728b1709/small/modification-of-custom-reference-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Modification of Custom Reference Data in CLC Genomics Workbench</video:title>
            <video:description>Modifing&lt;span&gt;&amp;nbsp;custom&amp;nbsp;&lt;/span&gt;r&lt;span&gt;eference&amp;nbsp;&lt;/span&gt;d&lt;span&gt;ata&amp;nbsp;&lt;/span&gt;s&lt;span&gt;ets with the&amp;nbsp;Reference Data Manager.&lt;/span&gt;</video:description>
            <video:publication_date>2023-10-20T09:58:43+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>218</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89747547/downloading-reference-genomes-in-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89747547</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/89747547/a9351469566701502429210f9896c3d4/video_medium/downloading-reference-genomes-in-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/89747547/a9351469566701502429210f9896c3d4/small/downloading-reference-genomes-in-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Downloading Reference Genomes in CLC Genomics Workbench</video:title>
            <video:description>Find and download commonly used reference data sets provided by QIAGEN and other public resources into CLC Genomics Workbench by using the Reference Data Manager.</video:description>
            <video:publication_date>2023-10-18T15:19:14+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>260</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89747417/setup-of-custom-reference-data-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89747417</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/89747417/2e18fcd51e8d60030a2f94399bdb093f/video_medium/setup-of-custom-reference-data-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/89747417/2e18fcd51e8d60030a2f94399bdb093f/small/setup-of-custom-reference-data-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Setup of Custom Reference Data in CLC Genomics Workbench</video:title>
            <video:description>Generate and manage individual custom Reference Data Sets with the Reference Data Manager to simplify the configuration of your workflows with regards to reference data inputs.</video:description>
            <video:publication_date>2023-10-18T15:16:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>353</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89747411/creation-of-hybrid-reference-data</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89747411</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/89747411/442e17c22b94c6bda919b3d092c79232/video_medium/creation-of-hybrid-reference-data-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/89747411/442e17c22b94c6bda919b3d092c79232/small/creation-of-hybrid-reference-data-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Creation of Hybrid Reference Data in CLC Genomics Workbench</video:title>
            <video:description>In cases where more than one organism is sequenced within one sample, a reference containing all the organisms may be needed. This video will walk you through the steps of creating a hybrid reference dataset.</video:description>
            <video:publication_date>2023-10-18T15:16:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>219</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89747403/importing-reference-data-into-clc</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89747403</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/89747403/e9855e2407146e40521e90158a162e2d/video_medium/importing-reference-data-into-clc-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/89747403/e9855e2407146e40521e90158a162e2d/small/importing-reference-data-into-clc-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Importing Reference Data into CLC Genomics Workbench</video:title>
            <video:description>Import reference data sets located on your hard drive into CLC Genomics Workbench.</video:description>
            <video:publication_date>2023-10-18T15:16:29+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>330</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89745106/rna-seq-data-analysis-and-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89745106</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/89745106/55fafc28d50f0fec01010516ab0fda24/video_medium/rna-seq-data-analysis-and-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/89745106/55fafc28d50f0fec01010516ab0fda24/small/rna-seq-data-analysis-and-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>RNA-seq data analysis and interpretation using QIAGEN CLC and QIAGEN IPA</video:title>
            <video:description>This 120-minute training will teach you how to easily analyze and interpret RNA-seq data using QIAGEN CLC Genomics Workbench software and QIAGEN Ingenuity Pathway Analysis (IPA).&lt;/p&gt;
&lt;p&gt;For RNA-seq data, you will learn how to:&lt;br /&gt;
• Import FASTQ files, cell matrix files and metadata and how to download references&lt;br /&gt;
• Map reads to a reference genome and generate gene and transcript counts and QC reports displaying % mapped reads, knee plots, etc.&lt;br /&gt;
• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams and others&lt;br /&gt;
• Easily customize RNA-seq workflows&lt;br /&gt;
• Export publication-quality graphics, tables and reports&lt;br /&gt;
• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways</video:description>
            <video:publication_date>2023-10-18T14:41:28+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6748</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89653647/exploring-pan-cancer</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89653647</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/89653647/35f7d62677fdf4eff509b8f68a786299/video_medium/exploring-pan-cancer-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/89653647/35f7d62677fdf4eff509b8f68a786299/small/exploring-pan-cancer-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Exploring pan-cancer immunomodulators for biomarker discovery and validation using TCGA and public single-cell data</video:title>
            <video:description>Cancer outcome is influenced by both the tumor microenvironment and host immune response. Using QIAGEN OmicSoft Studio to access public data from The Cancer Genome Atlas (TCGA) and our human Single Cell Lands collection, you’ll learn how to:
&lt;p&gt;• View host immune response clusters across TCGA samples&lt;br&gt;
• Identify differentially expressed immunomodulators across sample groups&lt;br&gt;
• Visualize single-cell dimension reduction maps and overlay expression data&lt;br&gt;
• Identify potential biomarkers whose expression correlates or anti-correlates with targets genes&lt;br&gt;
• Validate new biomarkers using custom queries and TCGA survival data&lt;/p&gt;</video:description>
            <video:publication_date>2023-10-16T17:57:22+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5047</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>single-cell</video:tag>
            <video:tag>tcga</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89505877/scale-up-ngs-bioinformatics</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89505877</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/89505877/20745c44a2924ed964fe00dd0c2d33ff/video_medium/scale-up-ngs-bioinformatics-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/89505877/20745c44a2924ed964fe00dd0c2d33ff/small/scale-up-ngs-bioinformatics-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Scale up NGS bioinformatics analysis throughput with QIAGEN CLC Genomics cloud computing</video:title>
            <video:description>Scale your NGS analysis to match your sequencing throughput using our QIAGEN CLC Genomics cloud solution. In this webinar, you’ll learn about the flexible and powerful setup for running your NGS sequence analyses on Amazon Web Services (AWS). You’ll learn how to use QIAGEN CLC Genomics Workbench to customize workflows and send analyses to AWS Batch for execution. Together we’ll also explore analysis automation solutions, third-party dockers, audit trails and user management, all of which are available with QIAGEN CLC Genomics Server software.&lt;/p&gt;
&lt;p&gt;Together, we’ll explore how to:&lt;br /&gt;
• Customize template workflows to meet your NGS analysis requirements&lt;br /&gt;
• Set up a QIAGEN CLC Genomics cloud environment on AWS&lt;br /&gt;
• Submit workflows to run on AWS and to retrieve results from these analyses.&lt;br /&gt;
• Use third-party dockers and automate workflow execution</video:description>
            <video:publication_date>2023-10-11T14:27:18+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3545</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomic cloud module</video:tag>
            <video:tag>cloud</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89505871/qiagen-biomedical-knowledge-base-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89505871</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/89505871/bdc7bd64d2b97bbb51d738ad4b946279/video_medium/qiagen-biomedical-knowledge-base-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/89505871/bdc7bd64d2b97bbb51d738ad4b946279/small/qiagen-biomedical-knowledge-base-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Biomedical Knowledge Base: Data- and analytics-driven drug discovery</video:title>
            <video:description>Biomedical relationships knowledge is now required for innovative data- and analytics-driven drug discovery. It powers biomedical knowledge graph analysis, artificial intelligence (AI)-driven target identification and many more applications.&lt;br&gt;
In this one-hour training, you’ll get an introduction to QIAGEN Biomedical Knowledge Base. You’ll learn how to tackle applications you can’t achieve with the QIAGEN Ingenuity Pathway Analysis (IPA) graphical user interface, or which can be done quicker and with more flexibility when performed programmatically. You’ll learn how to perform queries such as:&lt;br&gt;
• Quickly find the shortest connections between genes/proteins/metabolites of interest in the context of a specific disease&lt;p&gt;&lt;/p&gt;
&lt;p&gt;• Systematically build a network using a short list of genes/proteins/metabolites/chemicals&lt;br&gt;
• Recreate a drug mechanism of action&lt;/p&gt;</video:description>
            <video:publication_date>2023-10-11T14:27:07+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4195</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>drug discovery</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89505138/supercharge-your-ai-in-drug</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89505138</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/89505138/b3839e61b96a50536291f44cebf81745/video_medium/supercharge-your-ai-in-drug-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/89505138/b3839e61b96a50536291f44cebf81745/small/supercharge-your-ai-in-drug-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Supercharge your AI in drug discovery with high-quality biomedical data</video:title>
            <video:description>If you’re working in pharma or biotech, you likely rely on artificial intelligence (AI) to help you identify new drug targets or plausible biomarkers for disease within large data sets. Yet AI alone isn’t enough. A large proportion of Biomedical data have errors and are unstructured. For AI models to provide reliable insights, the underlying data must be of ‘high quality’, meaning it’s accurate, comprehensive, up-to-date and standardized.
&lt;p&gt;Jesper Ryge (Idorsia Pharmaceuticals), Alex Jarasch (Neo4j) and Venkatesh Moktali (QIAGEN Digital Insights) come together to showcase the practical applications of high-quality biomedical relationships data from the QIAGEN Biomedical Knowledge Base (BKB) to accelerate, improve and transform research in drug discovery and pharmaceutical development. By applying AI to a gene-disease knowledge graph, they identify promising drug targets and key mechanisms underlying diseases. A brief introduction to Neo4j shows how graph-centric analysis and visualizations facilitate the effective exploration of large knowledge graphs like BKB. This integration of high-quality curated data, AI-driven analysis and advanced visualization provides valuable insights and accelerates the progress of precision medicine.&lt;/p&gt;
&lt;p&gt;In this webinar, you’ll learn how you can:&lt;/p&gt;
&lt;p&gt;Build disease interactomes using protein-protein interactions&lt;br&gt;
Identify high-quality drug targets using inferred causal interactions&lt;br&gt;
Choose targets with the least likelihood of adverse outcomes by leveraging the depth of the data in BKB&lt;br&gt;
Formulate plausible hypotheses using state-of-the-art graph visualization&lt;br&gt;
Don’t miss this chance to learn how to supercharge your AI toolbox to transform your drug discovery.&lt;/p&gt;</video:description>
            <video:publication_date>2023-10-11T14:07:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3327</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>drug discovery</video:tag>
            <video:tag>neo4j</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89337617/introduction-to-phosphorylation</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89337617</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/89337617/81a785bd901824db6ad1ba8e61a54990/video_medium/introduction-to-phosphorylation-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/89337617/81a785bd901824db6ad1ba8e61a54990/small/introduction-to-phosphorylation-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Introduction to Phosphorylation Analyses in QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>In this training, we’ll introduce how you can analyze and interpret your phosphoproteomics data in QIAGEN IPA. Using an example phosphoproteomics dataset, we will answer questions such as:&lt;br /&gt;
• How can I format the data before uploading it into QIAGEN IPA?&lt;br /&gt;
• How do I set up the analysis?&lt;br /&gt;
• Which upstream kinases are implicated in the observed phosphoproteomics changes?&lt;br /&gt;
• What are the targets of a particular upstream kinase and how do their levels of phosphorylation change over time?&lt;br /&gt;
• How do the levels of phosphorylation change for proteins on Canonical Pathways over time?&lt;br /&gt;
• Which biological predictions trend in a time-dependent manner during the time course?&lt;br /&gt;
• How do the biological predictions from phosphoproteomics compare with a related transcriptomics dataset?</video:description>
            <video:publication_date>2023-10-05T13:28:52+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3936</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>phosphoproteomics analysis</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89269049/08-qiagen-omicsoft8</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89269049</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/89269049/efdfb605139d3ff5e90711165cb9a59d/video_medium/08-qiagen-omicsoft8-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/89269049/efdfb605139d3ff5e90711165cb9a59d/small/08-qiagen-omicsoft8-thumbnail.jpg</video:thumbnail_loc>
            <video:title>08. QIAGEN OmicSoftチュートリアル8 発現の差解析</video:title>
            <video:description>グループのサンプルセットを用いて発現の差解析を行います。発現以外にCNV、スプライシング、変異の差解析も可能です。</video:description>
            <video:publication_date>2023-10-03T14:19:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>282</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89097335/cross-species-comparison-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89097335</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/89097335/c2991d076d3286a86cd0c8eea7f44975/video_medium/cross-species-comparison-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/89097335/c2991d076d3286a86cd0c8eea7f44975/small/cross-species-comparison-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Cross-species comparison and validation for drug discovery and biomarker research using QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>Some human studies may be unfeasible or unethical, making cross-species research critical for drug discovery and biomarker validation. Cross-species research is a crucial method to collect data to examine potential toxicity for a candidate drug, determine the efficacious doses that may be suitable for humans, identify potential biomarkers for a disease of interest or a therapeutic response and understand the mechanisms of disease or treatment. While animal models and humans have similar anatomy and physiology, the subtle differences among organisms in the animal kingdom need to be considered and data collected must be interpreted using a meaningful method.
&lt;p&gt;Using QIAGEN IPA, you can perform comparative analyses across various animal models, even combining different time points, treatments, tissues and cell types with data generated from a wide variety of ‘omics technologies (RNA-seq, scRNA-seq, proteomics, metabolomics, etc.). In this training, you will learn how to:&lt;br&gt;
1. Generate activity heatmaps and expression charts comparing different pathways and regulatory networks across different species&lt;br&gt;
2. Use Activity Plot, Pattern Search and Analysis Match to compare your own data against thousands of public data pre-curated and pre-analyzed representing an array of disease states, conditions and other biological conditions&lt;br&gt;
3. Create expression and correlation plots using pre-curated and pre-analyzed public data to validate and confirm findings derived from a comparison analysis&lt;/p&gt;</video:description>
            <video:publication_date>2023-09-27T14:11:02+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5072</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>highlighted</video:tag>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/89049204/07-qiagen-omicsoft7</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=89049204</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/89049204/6477746b6c54facdd05969813937ce9f/video_medium/07-qiagen-omicsoft7-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/89049204/6477746b6c54facdd05969813937ce9f/small/07-qiagen-omicsoft7-thumbnail.jpg</video:thumbnail_loc>
            <video:title>07. QIAGEN OmicSoftチュートリアル7 サンプルセットの作成</video:title>
            <video:description>&lt;div&gt;&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;サンプル間で発現の差のある遺伝子リストを作成する場合等に必要なサンプルセットの作成方法を解説します。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2023-09-26T13:46:28+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>311</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/88924880/analysis-of-exposure-to</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=88924880</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/88924880/87388eded8464c35e073081f5fecf9a9/video_medium/analysis-of-exposure-to-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/88924880/87388eded8464c35e073081f5fecf9a9/small/analysis-of-exposure-to-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Analysis of exposure to perfluoroalkyl and polyfluoroalkyl substances (PFAS) using QIAGEN CLC Genomics Workbench and Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>Environmental contamination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) is of significant concern due to a wide range of adverse health effects induced by these chemicals, including hepatotoxicity. Analyzing next-generation sequencing data (NGS) from RNA-seq experiments to identify PFAS-induced adverse outcome pathways in the liver may help better understand the mechanisms of PFAS-induced hepatotoxicity. This training will use QIAGEN CLC Genomics Workbench to generate differential expression data from RNA-seq and QIAGEN IPA to study the data within a biological context and uncover molecular mechanisms and regulatory molecules.&lt;/p&gt;
&lt;p&gt;In this training, you’ll learn how to:&lt;br /&gt;
• Import NGS data into QIAGEN CLC Genomics Workbench&lt;br /&gt;
• Generate differential expression data using template workflows&lt;br /&gt;
• Export data to IPA&lt;br /&gt;
• Investigate pathways and regulatory networks to understand biological mechanisms&lt;br /&gt;
• Compare different experimental groups to identify biological similarities and differences&lt;br /&gt;
• Generate a custom network</video:description>
            <video:publication_date>2023-09-22T16:52:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5414</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>PFAS</video:tag>
            <video:tag>toxicology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/88883036/analyzing-qiaseq-dna-panels-with</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=88883036</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/88883036/a338cd204a76a15ec28fe4ecf5b2197f/video_medium/analyzing-qiaseq-dna-panels-with-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/88883036/a338cd204a76a15ec28fe4ecf5b2197f/small/analyzing-qiaseq-dna-panels-with-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Analyzing QIAseq DNA Panels with QIAGEN CLC Genomics Workbench</video:title>
            <video:description>This training will focus on analyzing QIAseq DNA panel datasets with QIAGEN CLC Genomics Workbench and the Biomedical Genomics Analysis plugin, including a live “FASTQ-to-VCF” demo of data import, data analysis and investigation. We will also show how to set up the analysis of a custom QIAseq DNA panel.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
During this training, you’ll learn about:&lt;br /&gt;
• Import of FASTQ files&lt;br /&gt;
• Launching an analysis workflow&lt;br /&gt;
• Inspection of QC reports, genome browser view, detected variants and other workflow outputs&lt;br /&gt;
• Customization of template workflow parameters based on findings in the QC report&lt;br /&gt;
• Import of custom primers and target regions file&lt;br /&gt;
• How to set up an analysis of a custom panel</video:description>
            <video:publication_date>2023-09-21T15:53:28+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3100</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>qiaseq</video:tag>
            <video:tag>qiaseq panels</video:tag>
            <video:tag>sample to insight</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/88808161/indication-expansion-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=88808161</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/88808161/1118ac40915ddac874e574aef12a376e/video_medium/indication-expansion-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/88808161/1118ac40915ddac874e574aef12a376e/small/indication-expansion-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Indication Expansion and Repurposing of PIK3CA Kinase Inhibitors: Systems Analysis of Alpelisib and Oral Cancers</video:title>
            <video:description>&lt;p&gt;Here we demo tools to rapidly guide &lt;strong&gt;drug repurposing and indication expansion&lt;/strong&gt;, using &lt;em&gt;alpelisib&lt;/em&gt;—a PI3Kα inhibitor approved for metastatic breast cancer—as a case study. The speaker shows how activating mutations in the &lt;strong&gt;PIK3CA&lt;/strong&gt; gene, a key oncogene, not only prevalent in breast cancer but also significantly present in oral cancers, an area with few active clinical trials and limited therapeutic development. By merging real-world mutation data, clinical outcomes, and pathway-based network modeling, the analysis shows that &lt;strong&gt;PIK3CA mutations in oral cancer correlate with poorer survival&lt;/strong&gt;, and that inhibiting PIK3CA activity could reduce disease progression. Further, the session used public dataset comparisons to identify non-oncologic diseases (e.g., lupus, heart disease) that share similar biology, suggesting future repurposing potential. It concluded by identifying possible &lt;strong&gt;combination therapy partners&lt;/strong&gt; through anti-matching expression patterns, showcasing a full workflow from hypothesis generation to target validation in under an hour.&lt;/p&gt;</video:description>
            <video:publication_date>2023-09-20T07:38:13+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1452</video:duration>
            <video:category>HSMD</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>cancer_drug_discovery</video:tag>
            <video:tag>hsmd</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/88795845/integrating-deeply-curated-omics</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=88795845</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/88795845/0b1e94aaaa352a579e4ba8d1c838942b/video_medium/integrating-deeply-curated-omics-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/88795845/0b1e94aaaa352a579e4ba8d1c838942b/small/integrating-deeply-curated-omics-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Integrating deeply curated omics data with APIs for biomarkers and drug-target investigation</video:title>
            <video:description>If you’re a data scientist or bioinformatician working in biopharma and need extensive high-quality ‘omics data for your projects in target discovery, this training is for you. You’ll learn how to programmatically discover, retrieve, filter, aggregate and analyze ‘omics data from our extensive repositories of deeply-curated multi-omics data. You’ll learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures and perform custom analyses to reveal patterns relevant to disease.&lt;br&gt;
Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions.
&lt;p&gt;In this training, you’ll learn how to:&lt;br&gt;
• Search for gene signatures to find datasets (e.g., gene set analysis to find matches of various related comparisons, where the result is a list of comparisons with Contrast names)&lt;br&gt;
• Plot correlation of results (e.g., where the result is a scatter plot between dataset comparisons)&lt;br&gt;
• Find multiple datasets with the same metadata (e.g., based on comparisons, you can define key metadata, then pull a bunch of datasets, and the result is a large table)&lt;br&gt;
• Perform a meta-analysis (e.g., based on datasets, do a Wilcoxon non-parametric test, where the result is Volcano plot and list)&lt;br&gt;
• Test cell specificity with custom aggregation (e.g., for hundreds of genes, calculate the % expressing, and aggregate across studies and by CellTypeGroup, where the result is a heatmap)&lt;/p&gt;</video:description>
            <video:publication_date>2023-09-19T17:54:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3513</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft API</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/88628490/introduction-to-qiagen-clc-genomics</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=88628490</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/88628490/9fc2575717c96343ea4f2f26154c00e0/video_medium/introduction-to-qiagen-clc-genomics-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/88628490/9fc2575717c96343ea4f2f26154c00e0/small/introduction-to-qiagen-clc-genomics-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Introduction to QIAGEN CLC Genomics Workbench &amp; Getting Started</video:title>
            <video:description>In this training, we will introduce you to QIAGEN CLC Genomics Workbench, including a live demo of the basic features and main functionalities.&lt;br /&gt;
During the training, we’ll cover:&lt;br /&gt;
• A general overview of the Workbench user interface&lt;br /&gt;
• Easy installation on Windows, Mac and Linux&lt;br /&gt;
• Plugin installation, e.g., Biomedical Genomics Analysis plugin&lt;br /&gt;
• Reference Data Management&lt;br /&gt;
• Working with reads from various NGS platforms&lt;br /&gt;
• Running individual tools and workflows&lt;br /&gt;
• Batch processing of data&lt;br /&gt;
• Data visualization using Track List/Genome Browser&lt;br /&gt;
• How to export of data and share workflows&lt;br /&gt;
• Q&amp;A</video:description>
            <video:publication_date>2023-09-14T19:31:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3311</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/88628352/qiagen-ingenuity-pathway-analysis-12</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=88628352</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/88628352/59d70e1370d40a0c8ebc39ef8e45ce9c/video_medium/qiagen-ingenuity-pathway-analysis-12-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/88628352/59d70e1370d40a0c8ebc39ef8e45ce9c/small/qiagen-ingenuity-pathway-analysis-12-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Ingenuity Pathway Analysis (IPA) for grant writing and publications with new features</video:title>
            <video:description>QIAGEN Ingenuity Pathway Analysis (IPA) represents a robust resource to aid in the process of writing grants publications. Driven by a wealth of manually-curated molecular interactions and associations in the QIAGEN Knowledge Base together with pre-analyzed public ‘omics data for hundreds of thousands of samples from QIAGEN OmicSoft Lands, IPA provides biological insights regardless of whether you have your own data or not. In the absence of your own data, IPA provides a resource to query existing molecular knowledge from the literature or public ‘omics data, build networks in silico, and review results from pre-analyzed public studies. With data, you can dig deeply into the biological meaning of your results through the identification of key pathways, regulatory molecules and functional changes as well as understand how your study relates to other published studies.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Join us for a 120-min training session where you will learn:&lt;/p&gt;
&lt;p&gt;• Ways to query IPA’s vast collection of curated literature and ‘omics data&lt;br&gt;
• How molecules relate to phenotypes and functions&lt;br&gt;
• Build your own networks and predict activity changes&lt;br&gt;
• Ways to explore a library of over 100,000 precomputed IPA analyses pulled from public ‘omics data&lt;br&gt;
• How to format your dataset and set up an analysis&lt;br&gt;
• How to deeply interrogate key Canonical Pathway&lt;br&gt;
• How to predict regulators which are causing your expression changes&lt;br&gt;
• How to contextualize the result of your analysis by comparing your results to internal and public data&lt;br&gt;
• Ways to generate the necessary tables and figures for your manuscript&lt;/p&gt;</video:description>
            <video:publication_date>2023-09-14T19:24:15+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>7186</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>grant writing</video:tag>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/88628295/metagenomics-and-taxonomic</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=88628295</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/88628295/d3fc0560880804b35be0c63cfd1ca5d3/video_medium/metagenomics-and-taxonomic-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/88628295/d3fc0560880804b35be0c63cfd1ca5d3/small/metagenomics-and-taxonomic-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Metagenomics and taxonomic profiling using amplicon sequence variants (ASVs)</video:title>
            <video:description>When it comes to taxonomic profiling of the microbiome, amplicon sequence variants (ASVs) is a method that has unique benefits compared to the traditional method of sequence similarity-based operational taxonomic unit (OTU) clustering. This training’ll cover how to effectively do taxonomic profiling using QIAGEN CLC Genomics Workbench’s ASV tools and a customizable workflow.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Specifically, you’ll learn how to:&lt;br&gt;
1. Collect and bin sequence variants for each sample&lt;br&gt;
2. Merge AVS tables to compare profiles&lt;br&gt;
3. Assign the taxonomic profile/organism&lt;br&gt;
4. Export high-resolution graphical and comprehensive tabular results&lt;/p&gt;</video:description>
            <video:publication_date>2023-09-14T19:22:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5584</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>microbial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/88405194/drug-treatment-toxicology-and-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=88405194</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/88405194/f3daafd46647e7cfa39da6b98b49e29d/video_medium/drug-treatment-toxicology-and-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/88405194/f3daafd46647e7cfa39da6b98b49e29d/small/drug-treatment-toxicology-and-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Drug treatment, toxicology and target safety assessment using QIAGEN IPA and OmicSoft</video:title>
            <video:description>In this 90-minute training, you'll learn how to perform drug treatment, toxicology and target safety assessment-related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
Using public data from GTEx (normal tissue), GEO, cancer collections and more, you'll learn how to use Omicsoft Lands to:&lt;br&gt;
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more&lt;br&gt;
• Correlate the expression of two or more genes&lt;br&gt;
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Using findings from peer-reviewed publications and other sources, we'll explore with you how to use QIAGEN IPA to:&lt;br&gt;
• Study the impact of targeting a gene/protein on different toxicological and biological functions&lt;br&gt;
• Derive toxicity findings for a gene of interest from QIAGEN IPA's knowledgebase&lt;br&gt;
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset&lt;br&gt;
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries&lt;/p&gt;</video:description>
            <video:publication_date>2023-09-06T16:18:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5397</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87969638/compare-and-contextualize-your</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87969638</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/87969638/01a41ba3d69af3962ce979ed53ed7fc1/video_medium/compare-and-contextualize-your-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/87969638/01a41ba3d69af3962ce979ed53ed7fc1/small/compare-and-contextualize-your-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Compare and contextualize your results using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>Take your QIAGEN Ingenuity Pathway Analysis (IPA) analyses to the next level by comparing them to your own analyses (different time points, treatments, cell lines, diseases and more) or to a library of over 100K precomputed datasets to find similar or opposite biological signatures. Identify key genes or entities and then explore how they are expressed across normal tissues, diseases and more from over 600K biological samples to gain deep context.
&lt;p&gt;In this training, you'll learn how to:&lt;/p&gt;
&lt;p&gt;• Get advanced insights with the QIAGEN IPA Analysis Match comparison feature to compare large numbers of your own datasets and/or public datasets (from GEO, SRA, cancer collections and more)&lt;br&gt;
• Use and interpret the IPA Activity Plot feature to identify key genes and regulators common across datasets&lt;br&gt;
• Explore identified key genes in Land Explorer to query and visualize expression across tissues, disease states and mutation status, including survival curves&lt;/p&gt;
&lt;p&gt;We will feature these specific IPA analyses:&lt;br&gt;
• Analysis Match, Activity Plot and Pattern Search&lt;br&gt;
• Land Explorer&lt;br&gt;
• Summer 2023 update and more&lt;/p&gt;</video:description>
            <video:publication_date>2023-08-23T16:04:12+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5519</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>analysis match</video:tag>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87882212/part-ii-single-cell-rna-sequencing</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87882212</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/87882212/e49ae11d16d3a6e81c13722549bca75e/video_medium/part-ii-single-cell-rna-sequencing-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/87882212/e49ae11d16d3a6e81c13722549bca75e/small/part-ii-single-cell-rna-sequencing-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Part II: Single-cell RNA sequencing data interpretation using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>This two-part series will walk you through single-cell RNA sequencing (scRNA-seq) analysis starting with a matrix file or FASTQ files and ending with a deep understanding of key pathways, regulators and cell type signatures within your data.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;In this session, we'll explore how you can take your scRNA-seq differential expression results produced from QIAGEN CLC Genomics Workbench (or from another software/package) and upload them into QIAGEN Ingenuity Pathway Analysis (IPA) to uncover a deep understanding of the biology in your experiment by exploring enrichment and activity prediction for pathways, regulators and more.&lt;/p&gt;
&lt;p&gt;Specifically, you'll learn how to:&lt;br&gt;
• Import data using the QIAGEN IPA plugin from QIAGEN CLC or data generated from a different software/pipeline/package&lt;br&gt;
• Explore canonical pathway enrichment and predicted activity for your comparisons&lt;br&gt;
• Find key regulators that may be responsible for the biology in your experiment&lt;br&gt;
• Compare multiple core analyses and see side-by-side results for various cell types, clusters and more&lt;br&gt;
• Compare the expression patterns for pathways and regulators in your dataset with over 135,000 precomputed public analyses in IPA&lt;br&gt;
• Compare your complete analysis signature with over 135,000 precomputed public analyses in IPA&lt;/p&gt;
&lt;p&gt;Part I focuses on the secondary analysis of scRNA-seq data using QIAGEN CLC Genomics Workbench. You'll learn to explore differential expression, UMAP, dot plot and more. Click here to watch Part I: &lt;a href="https://tv.qiagenbioinformatics.com/video/87882199/part-i-single-cell-rna-sequencing" title="Link: https://tv.qiagenbioinformatics.com/video/87882199/part-i-single-cell-rna-sequencing"&gt;https://tv.qiagenbioinformatics.com/video/87882199/part-i-single-cell-rna-sequencing&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2023-08-21T15:52:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5479</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87882199/part-i-single-cell-rna-sequencing</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87882199</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/87882199/be5eb5962751c4536b8058cd59123852/video_medium/part-i-single-cell-rna-sequencing-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/87882199/be5eb5962751c4536b8058cd59123852/small/part-i-single-cell-rna-sequencing-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Part I: Single-cell RNA sequencing data analysis using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>This two-part series will walk you through single-cell RNA sequencing (scRNA-seq) analysis starting with a matrix file or FASTQ files and ending with a deep understanding of key pathways, regulators and cell type signatures within your data.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;This session is for part I of this training. In this session, you'll learn to use QIAGEN CLC Genomics Workbench to perform secondary analysis on your scRNA-seq data. Specifically, you will learn how to:&lt;br&gt;
• Import your raw FASTQ or processed cell-matrix files&lt;br&gt;
• Use pre-configured but customizable pipelines/workflows for scRNA-seq data&lt;br&gt;
• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries. These include:&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
o UMAP, t-SNE plots&lt;br&gt;
o Differential expression table for clusters, cell types, or a combination of both&lt;br&gt;
o Heat map&lt;br&gt;
o Dot plots&lt;br&gt;
o Violin plots&lt;/p&gt;
&lt;p&gt;Part II of this training takes place on Wednesday, Aug. 16. It focuses on interpreting scRNA-seq data using QIAGEN Ingenuity Pathway Analysis (IPA) to understand key pathways, regulators and cell type signatures within your data. Click here to watch Part II: &lt;a href="https://tv.qiagenbioinformatics.com/video/87882212/part-ii-single-cell-rna-sequencing" title="Link: https://tv.qiagenbioinformatics.com/video/87882212/part-ii-single-cell-rna-sequencing"&gt;https://tv.qiagenbioinformatics.com/video/87882212/part-ii-single-cell-rna-sequencing&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2023-08-21T15:52:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5462</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87882198/immune-repertoire-analysis-using</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87882198</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/87882198/13c2d9057f9d2c3cf526f657307aaafb/video_medium/immune-repertoire-analysis-using-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/87882198/13c2d9057f9d2c3cf526f657307aaafb/small/immune-repertoire-analysis-using-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Immune repertoire analysis using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>The composition of the immune repertoire, consisting of the T cell and B cell receptors (TCR and BCR), is important for an organism's adaptive immune system and plays a pivotal role in an individual's overall health. Understanding the complex array of TCR and BCR allows for developing precision medicine and immunotherapy. Analyzing next-generation sequencing (NGS) data from RNA-seq experiments to characterize and understand TCR and BCR clonotypes may aid in identifying cases that could benefit from personalized immunotherapy or potentially predict therapeutic outcomes.&lt;/p&gt;
&lt;p&gt;In this training, we'll use QIAGEN CLC Genomics Workbench to analyze immune repertoire NGS data generated from RNA-seq or single-cell RNA-seq data. Together we'll explore how to import, analyze and interpret your NGS data. Specifically, you'll learn how to:&lt;/p&gt;
&lt;p&gt;-Import NGS data into QIAGEN CLC Genomics Workbench&lt;/p&gt;
&lt;p&gt;-Analyze the data using template workflows&lt;/p&gt;
&lt;p&gt;-Interpret the results using the interactive graphics produced by the workflows</video:description>
            <video:publication_date>2023-08-21T15:51:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5192</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>immunology</video:tag>
            <video:tag>ngs</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87767940/interpreting-genetic-risk-loci-from</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87767940</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/87767940/f26430bbb986079d4d97743436574558/video_medium/interpreting-genetic-risk-loci-from-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/87767940/f26430bbb986079d4d97743436574558/small/interpreting-genetic-risk-loci-from-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Interpreting genetic risk loci from GWAS in the context of key genes and pathways using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>Genome-wide association studies (GWAS) provide insights into the genetic architecture of disease by identifying susceptibility loci for the disease within a population. If you'd like to identify disease genes and novel biological pathways that underlay the disease pathogenesis to identify novel drug targets, QIAGEN Ingenuity Pathway Analysis (IPA) helps you characterize and validate risk loci within a biological context. In this training, you'll discover how to perform a core analysis for a list of risk loci to study their association with different pathways and regulatory networks.
&lt;p&gt;You'll learn how to:&lt;br&gt;
• Upload and perform a core analysis on a list of GWAS risk loci&lt;br&gt;
• Investigate pathways and regulatory networks to understand biological mechanisms&lt;br&gt;
• Compare enrichment between risk loci analysis to identify biological similarities and difference&lt;br&gt;
• Identify commonalities and differences between risk loci list&lt;br&gt;
• Generate a custom network and contextualize it using public data&lt;br&gt;
• Export high-resolution images and comprehensive tabular results in preferred formats&lt;/p&gt;</video:description>
            <video:publication_date>2023-08-16T13:59:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5562</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>gene regulation</video:tag>
            <video:tag>gwas</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87767905/indication-expansion-and-drug</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87767905</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/87767905/85975cc6c4eb826da0569cc4ce50ebf6/video_medium/indication-expansion-and-drug-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/87767905/85975cc6c4eb826da0569cc4ce50ebf6/small/indication-expansion-and-drug-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Indication expansion and drug repurposing using QIAGEN OmicSoft and Ingenuity Pathway Analysis</video:title>
            <video:description>Research and development for new drugs and disease treatments can be lengthy and costly. Indication expansion can help broaden the impact of a new drug that has already been through the arduous R&amp;amp;D process for a disease or cancer. Drug repurposing can take this concept and expand on it by looking for other diseases with similar drug target biology. The logic is if they share similar target biology, they may benefit from the same treatment.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;During this training, we'll cover skills such as:&lt;br&gt;
• Querying QIAGEN OmicSoft Lands data from sources like TCGA or ICGC and exploring the incidence of a cancer-driving somatic mutation that is targeted by a treatment&lt;br&gt;
• Creating a cohort of patients within OmicSoft with a disease-causing mutation and wild type for the gene of interest&lt;br&gt;
• Generating survival curves for each mutant and wild type group for various indications in the relevant OmicSoft Land&lt;br&gt;
• Using QIAGEN Ingenuity Pathway Analysis (IPA) to generate a mechanism of action network for the drug's target&lt;br&gt;
• Exploring various network overlay features to enable in silico testing and combination drug partner investigation&lt;br&gt;
• Searching for publicly available datasets relevant to your chosen indication&lt;br&gt;
• Comparing the expression profile from our disease state with other publicly available analyses to find other indications or diseases that share similar biology&lt;/p&gt;</video:description>
            <video:publication_date>2023-08-16T13:59:02+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5890</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87624417/06-qiagen-omicsoft6</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87624417</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/87624417/50857a043725ef0c0bf08155d4bd8045/video_medium/06-qiagen-omicsoft6-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/87624417/50857a043725ef0c0bf08155d4bd8045/small/06-qiagen-omicsoft6-thumbnail.jpg</video:thumbnail_loc>
            <video:title>06. QIAGEN OmicSoftチュートリアル6 比較解析</video:title>
            <video:description>遺伝子を指定しないで複数のサンプルセット、実験間での比較を行う方法を解説します。</video:description>
            <video:publication_date>2023-08-10T06:54:06+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>355</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87335372/metagenomics-taxonomic-profiling</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87335372</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/87335372/534b891ce8071a3caa19d8b9d09a6503/video_medium/metagenomics-taxonomic-profiling-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/87335372/534b891ce8071a3caa19d8b9d09a6503/small/metagenomics-taxonomic-profiling-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Metagenomics taxonomic profiling using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>QIAGEN CLC Microbial Genomics Module provides tools and workflows for many various bioinformatics applications, including microbiome analysis, isolate characterization, functional metagenomics and antimicrobial resistance characterization. The module supports the analysis of bacterial, viral and eukaryotic (fungal) genomes and metagenomes.&lt;/p&gt;
&lt;p&gt;This training focuses on amplicon-based taxonomic profiling (16S/18S/ITS sequencing OTU clustering). Specifically, we’ll cover together:&lt;/p&gt;
&lt;p&gt;• An overview of the different tools within QIAGEN CLC Microbial Genomics Module and the research areas supported&lt;/p&gt;
&lt;p&gt;• Taxonomic profiling&lt;/p&gt;
&lt;p&gt;• Importing data&lt;/p&gt;
&lt;p&gt;• Utilization of metadata&lt;/p&gt;
&lt;p&gt;• Downloading and managing references&lt;/p&gt;
&lt;p&gt;• The OTU clustering workflow (analytical pipeline)&lt;/p&gt;
&lt;p&gt;• Downstream processing of abundance tables&lt;/p&gt;
&lt;p&gt;• Creating and exporting high-quality graphics</video:description>
            <video:publication_date>2023-07-28T16:44:30+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5609</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>microbial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87335188/delving-into-public-single-cell</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87335188</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/87335188/bac5b674061ff23525c2013144b45f66/video_medium/delving-into-public-single-cell-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/87335188/bac5b674061ff23525c2013144b45f66/small/delving-into-public-single-cell-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Delving into public single-cell RNA-seq data using QIAGEN OmicSoft and Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>Single-cell RNA-sequencing (scRNA-seq) is widely used to study tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapies (including immunotherapy) and more. Accordingly, scientists have deposited a tremendous amount of scRNA-seq data into public domains like GEO.&lt;/p&gt;
&lt;p&gt;In this training, you will learn how to:&lt;/p&gt;
&lt;p&gt;· Locate public single-cell studies of interest to you using QIAGEN Omicsoft Single Cell Lands&lt;/p&gt;
&lt;p&gt;· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)&lt;/p&gt;
&lt;p&gt;· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)&lt;/p&gt;
&lt;p&gt;· Identify key pathways and regulators from scRNA-seq data using QIAGEN IPA</video:description>
            <video:publication_date>2023-07-28T16:32:46+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5353</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>rna-seq</video:tag>
            <video:tag>single cell land</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87171843/investigating-genomic-variants</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87171843</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/87171843/96e7cec9bd56a00ad4b57918e33d20bd/video_medium/investigating-genomic-variants-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/87171843/96e7cec9bd56a00ad4b57918e33d20bd/small/investigating-genomic-variants-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating genomic variants using QIAGEN CLC Genomics Workbench, QCI Interpret-Translational (QCII-T), and QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>Discovering new genes implicated in hereditary diseases or cancer progression is challenging yet advancing rapidly due to the increase in next-generation sequencing (NGS) cohort data. These data analyses produce insights into associations between gene variants and diseases and the biological mechanisms of these gene variants.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;By combining QIAGEN CLC Genomics Workbench, QCII-T and QIAGEN IPA, you can analyze sequencing data obtained from a variety of NGS technologies, annotate gene variants using the world’s most comprehensive and up-to-date curated scientific evidence and find biological connections in gene variants with manually curated scientific findings. Using a streamlined NGS analysis workflow, you’ll get valuable and reliable insights for your research project and speed up your discoveries.&lt;/p&gt;
&lt;p&gt;In this training, you’ll:&lt;br&gt;
1. Learn to import whole genome or exosome sequencing data into QIAGEN CLC Genomics Workbench and use the ultra-fast LightSpeed Module that delivers an end-to-end NGS FASTQ to VCF pipeline&lt;br&gt;
2. Explore the capabilities in QCII-T which can help accelerate your discoveries from hereditary or tumor cohort analyses to find associations between gene variants and diseases&lt;br&gt;
3. Learn how to use QIAGEN IPA and its manually curated content, among other integrated scientific evidence, to uncover novel biological mechanisms underlying these gene variants&lt;/p&gt;</video:description>
            <video:publication_date>2023-07-21T15:18:35+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5040</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87171568/target-exploration-and-cell-line</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87171568</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/87171568/e0a024b96f9d75a56e51daea06ffa7f0/video_medium/target-exploration-and-cell-line-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/87171568/e0a024b96f9d75a56e51daea06ffa7f0/small/target-exploration-and-cell-line-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Target exploration and cell line selection for drug discovery</video:title>
            <video:description>Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines is a powerful tool to identify gene alterations or cancer-related pathways and to discover potential drug targets. This training will focus on using QIAGEN OmicSoft Lands and Ingenuity Pathway Analysis (IPA) as guides to select cell lines and translate insights gained from cell lines into discovering new possible drug targets.&lt;br&gt;
In this 90-minute training, we’ll explore how you can use our platforms to:&lt;br&gt;
• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer and immune-oncology research&lt;br&gt;
• Examine genes of interest across various ‘omics datasets to analyze changes in expression, mutation, hotspots and gene dependency data&lt;br&gt;
• Generate networks for hypotheses and test them in-silico to improve the translation of insights derived from cell line models to drug target identification&lt;br&gt;
• Analyze integrated public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)&lt;br&gt;
• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on your own generated networks&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
Our system uses millions of curated literature findings in the QIAGEN/ IPA Knowledge Base and the OmicSoft digital warehouse. This training is for those of you familiar with QIAGEN IPA, as well as newcomers interested in learning more.</video:description>
            <video:publication_date>2023-07-21T15:06:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5988</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87171394/pathogen-detection-and-variant</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87171394</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/87171394/44b097d34c52195afb417008e7769dd2/video_medium/pathogen-detection-and-variant-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/87171394/44b097d34c52195afb417008e7769dd2/small/pathogen-detection-and-variant-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Pathogen detection and variant analysis using hybrid capture technology and QIAGEN CLC Genomics Workbench</video:title>
            <video:description>The detection and surveillance of pathogens such as respiratory viruses, sexually transmitted pathogens, adventitious agents and antimicrobial-resistant bacteria are increasingly important in healthcare settings and environmental monitoring. The COVID-19 pandemic highlighted the importance of identifying and differentiating variants of concern. By applying the lessons learned from the COVID-19 pandemic to other pathogens of interest, it’s clear there’s a widespread need for the ability to target sensitive variants using next-generation sequencing (NGS) enrichment strategies and to analyze NGS data.&lt;/p&gt;
&lt;p&gt;In this training, we'll use QIAGEN CLC Genomics Workbench to analyze NGS data generated from hybrid capture technology. Using data generated from QIAGEN HYB panels, you'll learn how to import, analyze and interpret NGS data. Specifically, you’ll discover:&lt;br /&gt;
1. How to import NGS data into QIAGEN CLC Genomics Workbench&lt;br /&gt;
2. How to analyze the data using template workflows;&lt;br /&gt;
3. How to interpret the results using the interactive graphics produced by the workflows;&lt;br /&gt;
4. How to modify the template workflows to accommodate custom panels</video:description>
            <video:publication_date>2023-07-21T14:58:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4788</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>microbial</video:tag>
            <video:tag>pathogen detection</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/87170039/insights-into-cancer-genomics-via</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=87170039</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/87170039/7edbbeea7a2439a621ca0f619f567414/video_medium/insights-into-cancer-genomics-via-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/87170039/7edbbeea7a2439a621ca0f619f567414/small/insights-into-cancer-genomics-via-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Insights into cancer genomics via COSMIC v98</video:title>
            <video:description>Our understanding of cancer mechanisms, genetics and complexities continues to expand rapidly. Without a streamlined, standardized and easy to understand organizational system to keep track of this plethora of knowledge, potentially crucial data can effectively be lost. Trusted by scientists for nearly 20 years, COSMIC is the world’s largest, most comprehensive, expert-curated resource for exploring the impact of somatic mutations in human cancers.
&lt;p&gt;Join this webinar with Leonie Hodges, Scientific Communications Officer for COSMIC, to take a journey through COSMIC’s mission and data annotation processes, the results of the latest curation focus on rare skin tumors, and how the team has revamped COSMIC’s download files to improve interoperability, accessibility and useability.&lt;/p&gt;</video:description>
            <video:publication_date>2023-07-21T13:51:41+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1680</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>cosmic</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86774204/05-qiagen-omicsoft5</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86774204</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/86774204/e8c59e368da0c576f4a78e6b091e9372/video_medium/05-qiagen-omicsoft5-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/86774204/e8c59e368da0c576f4a78e6b091e9372/small/05-qiagen-omicsoft5-thumbnail.jpg</video:thumbnail_loc>
            <video:title>05. QIAGEN OmicSoftチュートリアル5 複数のメタデータによる分類</video:title>
            <video:description>Y軸を複数のメタデータで分類してグラフを表示する方法を解説します。</video:description>
            <video:publication_date>2023-07-04T15:04:32+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>93</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86678694/antimicrobial-resistance-amr-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86678694</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/86678694/1c00082b424b6831d89855a91b6c943b/video_medium/antimicrobial-resistance-amr-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/86678694/1c00082b424b6831d89855a91b6c943b/small/antimicrobial-resistance-amr-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Antimicrobial resistance (AMR) and multi-locus sequence typing (MLST) using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>You asked for it by popular demand, and we’re here to deliver. In this training, we’ll cover how antimicrobial resistance (AMR) is used for isolation or can be easily integrated with other functionalities such as multi-locus sequence typing (MLST).&lt;br /&gt;
In this training, we’ll cover:&lt;br /&gt;
• Introduction to AMR, MLST and relevant databases&lt;br /&gt;
• QIAGEN Microbial Insight - Antimicrobial Resistance database (QMI-AR)&lt;br /&gt;
• Importing data and downloading needed databases&lt;br /&gt;
• Finding resistance with nucleotide DB, PointFinder and ShortBRED&lt;br /&gt;
• Integrating AMR with MLST&lt;br /&gt;
• Exporting high-resolution graphics and result tables</video:description>
            <video:publication_date>2023-06-28T18:32:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5544</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>antimicrobial resistance</video:tag>
            <video:tag>microbial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86675784/scale-your-comprehensive-genomic</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86675784</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/86675784/580be0a5f19bc1e3bec231c1edc0fa44/video_medium/scale-your-comprehensive-genomic-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/86675784/580be0a5f19bc1e3bec231c1edc0fa44/small/scale-your-comprehensive-genomic-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Scale your comprehensive genomic profiling workflow with superior automated variant interpretation</video:title>
            <video:description>Automating and scaling a comprehensive genomic profiling workflow can be a tedious and challenging process that requires lots of time and resources. However, an intelligent clinical decision support platform and on-demand expert support services can make all the difference.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;In this webinar, learn about QIAGEN Clinical Insight (QCI) Interpret for Oncology, a clinical decision support platform that has been trusted to analyze and interpret more than 3 million patient molecular profiles worldwide. Unlike other commercial solutions, QCI Interpret for Oncology is powered by augmented molecular intelligence and offers in-software access to a team of variant scientists to assist you with rare or novel variant research, curation, and interpretation. The platform connects to the QIAGEN Knowledge Base—the highest quality genomic knowledge base in the industry—and dynamically computes variant classifications according to AMP/ASCO/CAP and ACMG/AMP guidelines. To help you further scale and reduce hands-on time, QCI Interpret for Oncology provides over 410,000 variant interpretation summaries that have all been reviewed by oncologists. This enables you to quickly build custom reports for your oncologists and their patients with the latest diagnostic and prognostic information, as well as biomarker-directed therapy and clinical trial recommendations.&lt;/p&gt;
&lt;p&gt;By attending viewing this webinar, you will:&lt;/p&gt;
&lt;p&gt;Receive a step-by-step guide of how to go from VCF to final report using QCI Interpret for Oncology&lt;br&gt;
Learn about the platform’s automated variant classification process&lt;br&gt;
Learn how QIAGEN uses augmented molecular intelligence to enhance our expert curation process&lt;br&gt;
See first-hand how to build a custom report with an opportunity to submit your own VCF file for a sample report&lt;/p&gt;</video:description>
            <video:publication_date>2023-06-28T15:59:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3137</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>qci interpret one</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86481547/study-of-public-data-on</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86481547</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/86481547/ec45c6b6457a24dede186d1a59faf859/video_medium/study-of-public-data-on-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/86481547/ec45c6b6457a24dede186d1a59faf859/small/study-of-public-data-on-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Study of public data on inflammatory conditions public data for biomarker and drug target discovery using QIAGEN OmicSoft and Ingenuity Pathway Analysis</video:title>
            <video:description>In this 90-minute training on QIAGEN OmicSoft and Ingenuity Pathway Analysis (IPA), we’ll coveryou’ll learn how to easily query inflammatory conditions related to public data (GEO, SRA and more) so you canto: • Rapidly query and identify public datasets that fit your search criteria • Discover and validate biomarker expression in disease tissue, different treatments and response groups • Identify a list of biomarkers specific to a condition (non-responders, disease-specific, cell-type specific and more) • Confirm condition-specific biomarkers through gene expression heatmaps • Investigate biological mechanisms through network study&lt;br&gt;
Additional QIAGEN Digital Insights scientists will be on the call to answer your questions and help with other inquiries, such as how to install the software, etc.</video:description>
            <video:publication_date>2023-06-22T16:56:44+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5437</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86251572/sample-to-insight-at-lightspeed-a</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86251572</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/86251572/48d06de7d70066e8447113e1f8342a80/video_medium/sample-to-insight-at-lightspeed-a-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/86251572/48d06de7d70066e8447113e1f8342a80/small/sample-to-insight-at-lightspeed-a-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Sample to Insight at LightSpeed: A barrier-breaking workflow for inherited disease NGS testing</video:title>
            <video:description>Next-generation sequencing (NGS) has transformed the field of genetic testing, enabling rapid and cost-effective identification of genetic variants associated with inherited diseases. QIAGEN's new groundbreaking Sample to Insight Hereditary solution combines an actionable exome panel built from Human Gene Mutation Database (HGMD) variant information, the fastest and cheapest secondary analysis in the market, and trusted variant interpretation and reporting software powered by augmented molecular intelligence.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Get a first-hand look at QIAGEN’s new Sample to Insight Hereditary solution. By attending this webinar, you will:&lt;/p&gt;
&lt;p&gt;Learn more about each workflow component.&lt;br&gt;
Hear from experts in the field as they discuss how this technology advances the diagnosis and management of inherited diseases.&lt;/p&gt;
&lt;p&gt;Examine real-world case studies demonstrating the clinical utility and cost-effectiveness of the solution.&lt;br&gt;
If your lab needs a fast, cost-effective, ultra-precise workflow for germline NGS testing, you do not want to miss this webinar.&lt;/p&gt;</video:description>
            <video:publication_date>2023-06-12T15:33:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2999</video:duration>
            <video:category>Clinical and Translational</video:category>
            <video:tag>hereditary</video:tag>
            <video:tag>lightspeed</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86250525/unlocking-the-power-of-api-based</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86250525</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/86250525/2c368b55e83626230ffbc88ec35ee978/video_medium/unlocking-the-power-of-api-based-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/86250525/2c368b55e83626230ffbc88ec35ee978/small/unlocking-the-power-of-api-based-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Unlocking the power of API-based 'omics queries</video:title>
            <video:description>If you're a data scientist or bioinformatician working in biopharma, here's your chance to explore an advanced and comprehensive way to access and analyze high-quality 'omics data. The QIAGEN OmicSoft API provides a powerful and flexible platform for easy data discovery, retrieval, filtering, analysis and visualization. In this webinar, you'll learn how to leverage the OmicSoft API to access vast amounts of multi-omics data and perform custom analyses. We will also highlight the capabilities of the OmicSoft API to query across data sources to obtain a complete picture of the available 'omics data for any given disease.
&lt;p&gt;Join us to learn how OmicSoft API can revolutionize your data analysis workflows and help you make more informed decisions for your drug and target discovery projects.&lt;/p&gt;
&lt;p&gt;In this webinar, we'll discuss how to:&lt;/p&gt;
&lt;p&gt;Avoid the pitfalls of poorly labeled data&lt;br&gt;
Use the OmicSoft API to accelerate queries and promote consistency&lt;br&gt;
Perform multi' omics data analysis to reveal patterns and prioritize hypotheses&lt;br&gt;
Leverage curated metadata, including sample clinical data, to structure queries&lt;br&gt;
Drive efficiency in your drug discovery and bioinformatics programs&lt;/p&gt;
&lt;p&gt;Don't miss this chance to learn how to unlock the power of API-based 'omics queries.&lt;/p&gt;</video:description>
            <video:publication_date>2023-06-12T14:12:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3981</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>API</video:tag>
            <video:tag>omics</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86198627/analyze-compare-and-contextualize-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86198627</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/86198627/d1d550f6432591d0049fbecc98463a29/video_medium/analyze-compare-and-contextualize-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/86198627/d1d550f6432591d0049fbecc98463a29/small/analyze-compare-and-contextualize-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Analyze, compare and contextualize your biological data with QIAGEN IPA</video:title>
            <video:description>Discover why QIAGEN Ingenuity Pathway Analysis (IPA) is more than just pathway analysis – it’s your research companion.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://digitalinsights.qiagen.com/IPA"&gt;https://digitalinsights.qiagen.com/IPA&lt;/a&gt;</video:description>
            <video:publication_date>2023-06-07T22:05:58+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>31</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>IPA</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86198623/analyze-compare-and-contextualize</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86198623</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/86198623/992cfd337d13d4a60fbec983103f0658/video_medium/analyze-compare-and-contextualize-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/86198623/992cfd337d13d4a60fbec983103f0658/small/analyze-compare-and-contextualize-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Analyze, compare and contextualize your biological data with QIAGEN IPA</video:title>
            <video:description>Discover why QIAGEN Ingenuity Pathway Analysis (IPA) is more than just pathway analysis – it’s your research companion.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://digitalinsights.qiagen.com/IPA"&gt;https://digitalinsights.qiagen.com/IPA&lt;/a&gt;</video:description>
            <video:publication_date>2023-06-07T22:00:00+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>66</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86079576/2023-clinical-oncology-summit-part-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86079576</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/86079576/048087bef3309ad621c387ae93a37050/video_medium/2023-clinical-oncology-summit-part-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/86079576/048087bef3309ad621c387ae93a37050/small/2023-clinical-oncology-summit-part-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>2023 Clinical Oncology Summit: Part 2 - NA</video:title>
            <video:description>How to improve your existing pipeline for somatic mutation analysis, interpretation and reporting
&lt;p&gt;We are excited to bring thought leaders, NGS experts, lab directors, variant scientists, clinicians, and oncologists under one virtual roof at our second annual Clinical Oncology Summit hosted on April 27 and May 18, 2023.&lt;/p&gt;
&lt;p&gt;The two-part, content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of comprehensive genomic profiling, and educational presentations on the latest databases, software, and services for somatic secondary and tertiary analysis. Designed to help clinical diagnostic labs understand how they can optimize their current pipelines for somatic NGS analysis, interpretation and reporting, the Clinical Oncology Summit is a must-attend event for labs who need to reduce turnaround time, improve operational costs, and scale for higher throughput.&lt;/p&gt;</video:description>
            <video:publication_date>2023-05-26T14:00:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5073</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>oncology summit 2023</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86079566/2023-clinical-oncology-summit-part-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86079566</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/86079566/fd82f44914a1f0801c2dacb546052a5f/video_medium/2023-clinical-oncology-summit-part-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/86079566/fd82f44914a1f0801c2dacb546052a5f/small/2023-clinical-oncology-summit-part-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>2023 Clinical Oncology Summit: Part 2 - EMEA</video:title>
            <video:description>How to improve your existing pipeline for somatic mutation analysis, interpretation and reporting
&lt;p&gt;We are excited to bring thought leaders, NGS experts, lab directors, variant scientists, clinicians, and oncologists under one virtual roof at our second annual Clinical Oncology Summit hosted on April 27 and May 18, 2023.&lt;/p&gt;
&lt;p&gt;The two-part, content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of comprehensive genomic profiling, and educational presentations on the latest databases, software, and services for somatic secondary and tertiary analysis. Designed to help clinical diagnostic labs understand how they can optimize their current pipelines for somatic NGS analysis, interpretation and reporting, the Clinical Oncology Summit is a must-attend event for labs who need to reduce turnaround time, improve operational costs, and scale for higher throughput.&lt;/p&gt;</video:description>
            <video:publication_date>2023-05-26T13:59:49+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4667</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>oncology summit 2023</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86003363/pathway-and-network-analysis-on</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86003363</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/86003363/1ef0056f4dafd4a7a9545c689276e4c9/video_medium/pathway-and-network-analysis-on-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/86003363/1ef0056f4dafd4a7a9545c689276e4c9/small/pathway-and-network-analysis-on-thumbnail.jpg</video:thumbnail_loc>
            <video:title> Pathway and network analysis on different types of lists with QIAGEN Ingenuity Pathway Analysis (IPA) </video:title>
            <video:description>You may not have a typical transcriptomics dataset (i.e., a list of genes with differential expression), yet, you’d like to analyze a list of IDs. In this training, we will explore how to perform pathway and network analysis for lists of IDs in QIAGEN IPA.&lt;/p&gt;
&lt;p&gt;Examples of lists that we’ll explore include:&lt;br /&gt;
• A gene/protein/metabolite list coming from a paper, generated in a lab or from a collaborator without differential expression&lt;br /&gt;
• A list of RS IDs for variants with or without numerical values such as p-values&lt;br /&gt;
• A list of proteins with Z-score (or other numerical value) calculated outside of IPA&lt;br /&gt;
• Other lists where you have mainly IDs and but no differential expression data&lt;/p&gt;
&lt;p&gt;In this IPA training, you’ll learn how to:&lt;br /&gt;
• Upload and perform a pathway analysis (also known as core analysis) on a list of genes, proteins, metabolites or other types of IDs&lt;br /&gt;
• Open and investigate pathways and networks for understanding biological mechanisms&lt;br /&gt;
• Compare between analyses to identify similarities and differences for applications such as biomarker discovery&lt;br /&gt;
• Generate a custom network and contextualize it using public data</video:description>
            <video:publication_date>2023-05-22T16:13:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5538</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86003350/checkpoint-inhibitors-in-the</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86003350</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/86003350/a9473202d936ec96e35f3e85f3db1e62/video_medium/checkpoint-inhibitors-in-the-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/86003350/a9473202d936ec96e35f3e85f3db1e62/small/checkpoint-inhibitors-in-the-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Checkpoint inhibitors in the context of biomarkers, drug targets and pathways</video:title>
            <video:description>In this training, we will focus on how you can use QIAGEN Omicsoft Studio and QIAGEN Ingenuity Pathway Analysis (IPA) to discover new biomarkers, validate (or study) drug targets and identify novel mechanisms of action with your own and/or public checkpoint inhibitor datasets from resources like GEO, SRA, TCGA and more.
&lt;p&gt;In this training, you’ll learn how to:&lt;/p&gt;
&lt;p&gt;· Investigate the expression of a gene/biomarker/drug target across different treatments and diseases&lt;/p&gt;
&lt;p&gt;· Derive a biomarker/gene signature from a specific condition (for example, non-responders of a drug, or a particular disease/disease subtype and others)&lt;/p&gt;
&lt;p&gt;· Correlate expression of multiple genes and biomarkers&lt;/p&gt;
&lt;p&gt;· Compare different experimental groups (e.g., your own data and/or public data) at both the levels of gene expression and pathways/regulatory networks activity&lt;/p&gt;</video:description>
            <video:publication_date>2023-05-22T16:11:43+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5244</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/86003336/beyond-exomes-ultrafast-fastq-to</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=86003336</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/86003336/7e8f327b11251328979976a47abe8a88/video_medium/beyond-exomes-ultrafast-fastq-to-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/86003336/7e8f327b11251328979976a47abe8a88/small/beyond-exomes-ultrafast-fastq-to-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Beyond exomes: Ultrafast FASTQ to interpretation</video:title>
            <video:description>QIAGEN CLC LightSpeed Module delivers an ultra-fast, end-to-end hereditary NGS FASTQ to VCF pipeline. LightSpeed takes raw FASTQ files generated by paired-end 150 bp sequencing protocols and performs quality trimming, adapter trimming, read mapping, deduplication, local realignment, QC and germline variant calling.&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
QIAGEN CLC Genomics Cloud computing software allows you to launch analyses from CLC Workbenches or CLC Servers for execution on Amazon Web Services (AWS).
&lt;p&gt;For more details, visit https://digitalinsights.qiagen.com/explore/c/qpro-2367_an_clc-lig?x=QbXlDs#page=1 and&lt;br&gt;
&lt;a href="https://digitalinsights.qiagen.com/plugins/clc-cloud-module/"&gt;https://digitalinsights.qiagen.com/plugins/clc-cloud-module/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;To start a trial of QIAGEN CLC Genomics Workbench Premium, visit:&lt;br&gt;
&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-clc-workbench-premium/"&gt;https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-clc-workbench-premium/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;In this training, we’ll explore together:&lt;/p&gt;
&lt;p&gt;• An overview of the QIAGEN CLC Genomics Workbench Premium platform&lt;br&gt;
• An overview of the QIAGEN CLC Genomics Server and Cloud                                                   • Breaking the speed of light&lt;br&gt;
• Why LightSpeed is arguably the fastest and cheapest-to-run hereditary FASTQ-to-VCF WGS pipeline available&lt;br&gt;
• Benchmarks/comparisons&lt;br&gt;
• Demo of lightspeed and cloud module for Fastq to VCF&lt;br&gt;
• Plugin installation&lt;br&gt;
• Download of reference(s)&lt;br&gt;
• Workflow execution and results review&lt;/p&gt;</video:description>
            <video:publication_date>2023-05-22T16:10:18+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4859</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>lightspeed</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85789822/identifying-novel-drug-targets-in-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85789822</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/85789822/52286bb716b40dcc21cc051df74aad27/video_medium/identifying-novel-drug-targets-in-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/85789822/52286bb716b40dcc21cc051df74aad27/small/identifying-novel-drug-targets-in-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Identifying novel drug targets in paraganglioma</video:title>
            <video:description>In disease research, understanding the key genes involved and how they interact to drive disease occurrence or severity is extremely valuable. Discovering previously unknown gene-disease relationships helps us gain insights to develop new potential therapies. To this end, we applied machine learning (ML) to our QIAGEN Knowledge Graph (QKG) to predict novel gene-disease associations. A research team at MicroMatrices, who study familial paraganglioma, investigated potential new targets by identifying differentially expressed genes using laser dissection targeted transcriptomics analysis in tumor vs. normal tissue. They compared the changes found in their case study with predicted gene alterations made by our ML process and found potential new drug targets and candidate drugs. Their treatment hypotheses can be tested in a 3D model of paraganglioma using SpheroMatrices microtissue array (microTMA) technology.&lt;/p&gt;
&lt;p&gt;If you'd like to explore a new way to identify potential new drug targets, you won't want to miss this unique opportunity to learn from industry experts about:&lt;/p&gt;
&lt;p&gt;How ML used known relationships in the QKG to infer hidden relationships between potential targets and diseases&lt;br /&gt;
A library of 1500 disease networks available in QIAGEN Ingenuity Pathway Analysis (IPA)&lt;br /&gt;
MicroMatrices' research into paraganglioma and evaluation of novel gene associations predicted by our disease network&lt;br /&gt;
Opportunities to verify new drug targets for paraganglioma as well as potential targets in other diseases</video:description>
            <video:publication_date>2023-05-09T19:23:16+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2168</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85789799/transcriptional-response-to-animal</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85789799</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/85789799/5faab0bfb5228c21ee74871d255fb293/video_medium/transcriptional-response-to-animal-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/85789799/5faab0bfb5228c21ee74871d255fb293/small/transcriptional-response-to-animal-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Transcriptional response to animal feed supplemented with plant-based antimicrobials</video:title>
            <video:description>In recent years there has been a rapid trend to end use of antibiotic growth promoters (AGPs) in livestock feed. This has brought a new area in veterinary research and a surge of new products that claim that they can control pathogens to a similar level as AGPs. Several alternatives to AGPs have been successfully implemented on farms, including probiotics, prebiotics, symbiotics, organic acids, biochar, bentonite and many more. Plant-based antimicrobial products, referred to as phytogens, are surging in popularity and use. Although strongly antimicrobial, plant phytogens have a range of other beneficial effects, including insecticide, anti-cancer, immunomodulating, drug interference, altering hormone levels and many others known to the general public via the effects of plant essential oils.&lt;/p&gt;
&lt;p&gt;In this webinar, we'll explore:&lt;/p&gt;
&lt;p&gt;The results of a study on the effects of a phytogenic product containing menthol, carvacrol and carvone&lt;br /&gt;
How this phytogenic product was supplemented to egg-laying birds from arrival to production sheds&lt;br /&gt;
The effects on birds' productivity and welfare based on studying their 16S microbiota, metagenomics and ileum transcriptomics&lt;br /&gt;
How QIAGEN CLC Genomics Workbench was applied to RNA-seq data analysis&lt;br /&gt;
How QIAGEN Ingenuity Pathway Analysis (IPA) enabled mapping a range of additional benefits of the product, paving the way to farm-customised pathogen control&lt;/p&gt;
&lt;p&gt;Don’t miss this opportunity to learn from an expert in microbiology about a promising plant-based alternative to antibiotics in animal feed.</video:description>
            <video:publication_date>2023-05-09T19:13:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3573</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>microbial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85644682/qiagen-ingenuity-pathway-analysis-11</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85644682</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/85644682/9dddc21a38a744a10a97437e5aa84df2/video_medium/qiagen-ingenuity-pathway-analysis-11-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/85644682/9dddc21a38a744a10a97437e5aa84df2/small/qiagen-ingenuity-pathway-analysis-11-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Ingenuity Pathway Analysis (IPA) for grant writing and publications with new features</video:title>
            <video:description>QIAGEN Ingenuity Pathway Analysis (IPA) represents a robust resource to aid in the process of writing grants publications. Driven by a wealth of manually-curated molecular interactions and associations in the QIAGEN Knowledge Base together with pre-analyzed public ‘omics data for hundreds of thousands of samples from QIAGEN OmicSoft Lands, IPA provides biological insights regardless of whether you have your own data or not. In the absence of your own data, IPA provides a resource to query existing molecular knowledge from the literature or public ‘omics data, build networks in silico, and review results from pre-analyzed public studies. With data, you can dig deeply into the biological meaning of your results through the identification of key pathways, regulatory molecules and functional changes as well as understand how your study relates to other published studies.
&lt;p&gt;In this 90-min training session you will learn:&lt;/p&gt;
&lt;p&gt;• Ways to query IPA’s vast collection of curated literature and ‘omics data&lt;br&gt;
• How molecules relate to phenotypes and functions&lt;br&gt;
• Build your own networks and predict activity changes&lt;br&gt;
• Ways to explore a library of over 100,000 precomputed IPA analyses pulled from public ‘omics data&lt;br&gt;
• How to format your dataset and set up an analysis&lt;br&gt;
• How to deeply interrogate key Canonical Pathway&lt;br&gt;
• How to predict regulators which are causing your expression changes&lt;br&gt;
• How to contextualize the result of your analysis by comparing your results to internal and public data&lt;br&gt;
• Ways to generate the necessary tables and figures for your manuscript&lt;/p&gt;</video:description>
            <video:publication_date>2023-05-02T09:21:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6320</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>grant writing</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85644651/proteomics-and-phosphoproteomics</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85644651</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/85644651/114dcfebf126560ff5da7592a656d881/video_medium/proteomics-and-phosphoproteomics-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/85644651/114dcfebf126560ff5da7592a656d881/small/proteomics-and-phosphoproteomics-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Proteomics and phosphoproteomics data interpretation using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>In this QIAGEN IPA training, we’ll focus on interpreting proteomics and phosphoproteomics datasets.&lt;/p&gt;
&lt;p&gt;In this tutorial, we’ll guide you through steps and workflows to address your questions related to interpreting proteomics and phosphoproteomics datasets using QIAGEN IPA, such as:&lt;br /&gt;
• How should I format the data before uploading to IPA?&lt;br /&gt;
• How do I set up the analysis?&lt;br /&gt;
• Which upstream kinases are implicated in the observed phosphoproteomics changes?&lt;br /&gt;
• What are the targets of a particular upstream kinase and how do their levels of phosphorylation change over the time course?&lt;br /&gt;
• What are the targets on a particular Canonical Pathway and how do their levels of phosphorylation change over time?&lt;br /&gt;
• Which biological predictions trend in a time-dependent manner during the time course?&lt;br /&gt;
• How do the biological predictions from phosphoproteomics compare with a related transcriptomics dataset?</video:description>
            <video:publication_date>2023-05-02T09:20:43+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6111</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa tutorial</video:tag>
            <video:tag>phosphoproteomics analysis</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85625975/2023-clinical-oncology-summit-part-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85625975</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/85625975/c7986ba3682144d1e03122bbf786a9d4/video_medium/2023-clinical-oncology-summit-part-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/85625975/c7986ba3682144d1e03122bbf786a9d4/small/2023-clinical-oncology-summit-part-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>2023 Clinical Oncology Summit: Part 1 - Americas</video:title>
            <video:description>How to improve your existing pipeline for somatic mutation analysis, interpretation and reporting&lt;br&gt;
We are excited to bring thought leaders, NGS experts, lab directors, variant scientists, clinicians, and oncologists under one virtual roof at our second annual Clinical Oncology Summit.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;The two-part, content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of comprehensive genomic profiling, and educational presentations on the latest databases, software, and services for somatic secondary and tertiary analysis. Designed to help clinical diagnostic labs understand how they can optimize their current pipelines for somatic NGS analysis, interpretation and reporting, the Clinical Oncology Summit is a must-attend event for labs who need to reduce turnaround time, improve operational costs, and scale for higher throughput.&lt;/p&gt;</video:description>
            <video:publication_date>2023-05-01T19:30:14+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6627</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>oncology summit 2023</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85589464/2023-clinical-oncology-summit-part</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85589464</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/85589464/b19839b0fe06278f92a8a6bb292fd1c9/video_medium/2023-clinical-oncology-summit-part-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/85589464/b19839b0fe06278f92a8a6bb292fd1c9/small/2023-clinical-oncology-summit-part-thumbnail.jpg</video:thumbnail_loc>
            <video:title>2023 Clinical Oncology Summit: Part 1 - EMEA</video:title>
            <video:description>How to improve your existing pipeline for somatic mutation analysis, interpretation and reporting
&lt;p&gt;We are excited to bring thought leaders, NGS experts, lab directors, variant scientists, clinicians, and oncologists under one virtual roof at our second annual Clinical Oncology Summit.&lt;/p&gt;
&lt;p&gt;The two-part, content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of comprehensive genomic profiling, and educational presentations on the latest databases, software, and services for somatic secondary and tertiary analysis. Designed to help clinical diagnostic labs understand how they can optimize their current pipelines for somatic NGS analysis, interpretation and reporting, the Clinical Oncology Summit is a must-attend event for labs who need to reduce turnaround time, improve operational costs, and scale for higher throughput.&lt;/p&gt;
&lt;p&gt;Meet the speakers and view the full agenda here.&lt;/p&gt;</video:description>
            <video:publication_date>2023-04-27T19:29:50+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5040</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>oncology summit 2023</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85589246/introducing-qci-secondary-analysis</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85589246</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/85589246/073bb2c753a463288d91f7918ea6d139/video_medium/introducing-qci-secondary-analysis-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/85589246/073bb2c753a463288d91f7918ea6d139/small/introducing-qci-secondary-analysis-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Introducing QCI Secondary Analysis</video:title>
            <video:description>Introducing QCI Secondary Analysis, a new cloud-based service for NGS secondary analysis that helps you do more—with less.&lt;/p&gt;
&lt;p&gt;Scalable and workflow agnostic, QCI Secondary Analysis can be used with any NGS instrument and panel combination and seamlessly connects to QCI Interpret, QIAGEN’s platform for clinical NGS interpretation, to enable users to go from FASTQ to precision report through an integrated and automated workflow.</video:description>
            <video:publication_date>2023-04-27T18:59:20+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>273</video:duration>
            <video:category>QCI Secondary Analysis</video:category>
            <video:tag>qci secondary analysis</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85393870/pathogen-detection-in-wastewater</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85393870</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/85393870/d60259d687e33ac3d63da0530e16b0b8/video_medium/pathogen-detection-in-wastewater-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/85393870/d60259d687e33ac3d63da0530e16b0b8/small/pathogen-detection-in-wastewater-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Pathogen detection in wastewater samples using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>In this 90-minute training, you will learn how to easily analyze wastewater samples to detect pathogens (SARS-COV2, etc.) using QIAGEN CLC Genomics Workbench software.&lt;/p&gt;
&lt;p&gt;You will learn how to:&lt;br /&gt;
• Importing reads&lt;br /&gt;
• Open and modify prebuilt workflow (analysis pipeline)&lt;br /&gt;
• Install and execute workflow&lt;br /&gt;
• Review QC reports&lt;br /&gt;
• Perform genome visualization&lt;br /&gt;
• Export the consensus sequence in FASTA format to upload to Pangolin&lt;br /&gt;
• Create a SNP tree of the consensus sequence and overlay Pangolin information&lt;br /&gt;
• Export graphical and tabular results</video:description>
            <video:publication_date>2023-04-24T18:19:24+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5188</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>microbial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85391928/qiagen-omicsoft-expression-analysis</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85391928</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/85391928/39a12ee322163e9ad71072dbf76463a7/video_medium/qiagen-omicsoft-expression-analysis-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/85391928/39a12ee322163e9ad71072dbf76463a7/small/qiagen-omicsoft-expression-analysis-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN OmicSoft Expression Analysis Training</video:title>
            <video:description>In this 90-minute training, attendees will learn how to use basic expression analysis functionalities in QIAGEN OmicSoft studio and briefly how that integrates with OncoLand, DiseaseLand and Single Cell Land.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Key focus will be on Expression data analysis using QIAGEN OmicSoft Studio’s powerful analysis and visualization capabilities to explore your ‘omics data:&lt;/p&gt;
&lt;p&gt;• Accepted data formats (ex. fastq files, cell matrix files with raw or normalized counts, etc.)&lt;br&gt;
• Generation of downstream outputs such as differential expression, heatmaps, counts, PCA/PCOA, etc.&lt;br&gt;
• Exporting high-resolution graphics as well as raw or filtered tables&lt;/p&gt;
&lt;p&gt;This training is designed for biologists, bioinformaticians, and data scientists.&lt;/p&gt;
&lt;p&gt;Slides and dataset from this training: https://qiagen.showpad.com/share/3JTghilXLeKViGYDJuz1t&lt;/p&gt;
&lt;p&gt;Step-by-step slides – slide#2&lt;/p&gt;
&lt;p&gt;Dataset – slide#5&lt;/p&gt;</video:description>
            <video:publication_date>2023-04-24T14:47:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5689</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft tutorial</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85391652/make-discoveries-from-public-data</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85391652</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/85391652/e07cebf4087374436e17c9b26c038c47/video_medium/make-discoveries-from-public-data-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/85391652/e07cebf4087374436e17c9b26c038c47/small/make-discoveries-from-public-data-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Make discoveries from public data (GEO, SRA and more) using QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>Slides from this training: &lt;a href="https://qiagen.showpad.com/share/TgxuabZORvDS3uLGCJRGN"&gt;https://qiagen.showpad.com/share/TgxuabZORvDS3uLGCJRGN&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;You asked for it, and we’re here to deliver. We are hosting a comprehensive training on effectively using sample-level public data and metadata from sources like GEO, SRA, TCGA, GTEx, Blueprint, CCLE and others through QIAGEN Ingenuity Pathway Analysis (IPA) and the IPA Analysis Match Explorer feature. We’ll walk you through use cases involving biomarker discovery, drug target investigation, studying survival in custom patient cohorts, multi-gene correlation and more.&lt;/p&gt;
&lt;p&gt;We’ll cover topics like:&lt;br /&gt;
• How is a gene of interest expressed across different conditions?(‘conditions’ refers to diseases, disease subtypes, treatments, cell types, cell lines and more)&lt;br /&gt;
• Is there a correlation in expression for two genes or biomarkers of user interest for a given condition?&lt;br /&gt;
• Can we compare more than two genes in a heatmap?&lt;br /&gt;
• For a given condition of interest, can we derive a list of genes (for example, genes specific to a disease, treatment or cell type)?&lt;br /&gt;
• Can we generate custom cohorts of patients (for example, TP53 wt vs. mutant or PDCD1 high vs. low expression) and then create survival curves representing those cohorts? Can we generate a p-value to see if there is a significant difference?&lt;br /&gt;
• Can we detect the expression of a gene in different cell types from single-cell data?</video:description>
            <video:publication_date>2023-04-24T14:32:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5695</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85182434/04-qiagen-omicsoft4</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85182434</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/85182434/b6bd457e2ed507221208b665f113ced2/video_medium/04-qiagen-omicsoft4-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/85182434/b6bd457e2ed507221208b665f113ced2/small/04-qiagen-omicsoft4-thumbnail.jpg</video:thumbnail_loc>
            <video:title>04. QIAGEN OmicSoftチュートリアル4 遺伝子の検索、サンプルの絞り込み</video:title>
            <video:description>&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;
  &lt;td&gt;単一遺伝子の検索、および様々なメタデータでサンプルの絞り込みを行う方法を解説します。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;</video:description>
            <video:publication_date>2023-04-06T17:49:31+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>159</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85182431/02-qiagen-omicsoft2-land</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85182431</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/85182431/72a9c00d8d40135d19e0c42de0b450bc/video_medium/02-qiagen-omicsoft2-land-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/85182431/72a9c00d8d40135d19e0c42de0b450bc/small/02-qiagen-omicsoft2-land-thumbnail.jpg</video:thumbnail_loc>
            <video:title>02. QIAGEN OmicSoftチュートリアル2 起動と Land の選択</video:title>
            <video:description>&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;
  &lt;td&gt;起動後、まず最初に利用するLand を選択します。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;</video:description>
            <video:publication_date>2023-04-06T17:49:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>222</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85182429/03-qiagen-omicsoft3-y</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85182429</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/85182429/2d480d6317030a89bcaf7dd26e81dd4e/video_medium/03-qiagen-omicsoft3-y-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/85182429/2d480d6317030a89bcaf7dd26e81dd4e/small/03-qiagen-omicsoft3-y-thumbnail.jpg</video:thumbnail_loc>
            <video:title>03. QIAGEN OmicSoftチュートリアル3 グループ分け (Y軸の分類）</video:title>
            <video:description>&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;
  &lt;td&gt;表示されているグラフのY軸は疾患の種類、喫煙歴等様々なメタデータで分類できます。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;</video:description>
            <video:publication_date>2023-04-06T17:49:13+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>122</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85182426/01-qiagen-omicsoft-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85182426</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/85182426/f679f5360d2b229124dfce4aa2d9e214/video_medium/01-qiagen-omicsoft-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/85182426/f679f5360d2b229124dfce4aa2d9e214/small/01-qiagen-omicsoft-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>01. QIAGEN OmicSoft  チュートリアル1 概要</video:title>
            <video:description>&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;
  &lt;td&gt;OmicSoft
  の概要と製品の種類についての説明です。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;</video:description>
            <video:publication_date>2023-04-06T17:48:50+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>72</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85126044/qiagen-bioinformatics-public-health</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85126044</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/85126044/e0e606026bce33f66d9dd7a4f7b069d1/video_medium/qiagen-bioinformatics-public-health-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/85126044/e0e606026bce33f66d9dd7a4f7b069d1/small/qiagen-bioinformatics-public-health-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN Bioinformatics Public Health Summit</video:title>
            <video:description>As next-generation sequencing (NGS) technologies become more available, public health labs face increasing pressure to use them to identify and characterize infectious diseases, microbial pathogens and outbreaks. However, each task may require specific data processing and analysis methods, making NGS seem daunting.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Our Public Health Lab NGS Summit is a virtual event focusing on applying NGS data analysis in your public health laboratory. We'll cover the basics of NGS data analysis, workflow selection, and expected outputs for outbreak investigations, disease surveillance and antimicrobial resistance. We'll also highlight a panel of peers with real-world experience in NGS data analysis in public health.&lt;/p&gt;
&lt;p&gt;Topics of interest:&lt;br&gt;
• Enteric pathogens&lt;br&gt;
• Pathogens of concern – Vector-borne diseases, TB, sexually transmitted infections&lt;br&gt;
• Respiratory viruses – SARS-CoV-2, influenza, RSV&lt;br&gt;
• Wastewater applications&lt;br&gt;
• Services for extending internal resources&lt;br&gt;
• License options for QIAGEN products&lt;br&gt;
• Round table discussion from public health experts using NGS&lt;/p&gt;</video:description>
            <video:publication_date>2023-03-31T17:16:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5098</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>PHL</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85094645/how-to-simplify-somatic-ngs</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85094645</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/85094645/16e31eea7ce3a5c125fa8e949f56e477/video_medium/how-to-simplify-somatic-ngs-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/85094645/16e31eea7ce3a5c125fa8e949f56e477/small/how-to-simplify-somatic-ngs-thumbnail.jpg</video:thumbnail_loc>
            <video:title>How to simplify somatic NGS analysis &amp; reduce literature review time by 90% with HSMD</video:title>
            <video:description>Across clinical oncology applications, from molecular testing to cancer research, the ability to identify potentially actionable genomic and genetic alterations to exploit the molecular vulnerabilities of cancer is a burgeoning field. Due to the sporadic nature of somatic cancers and the expansion of next-generation sequencing, the number of variants detected through tumor testing is growing exponentially, presenting a challenge to clinical cancer genetics professionals working to confidently identify meaningful mutations that could influence decision-making at point-of-care.&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
Join Chelsea Alexander, a certified genetic counselor, and Aarthi Goverdhan, our lead oncology application development scientist, for this live webinar to discover a new database that can streamline your somatic NGS analysis and significantly reduce your literature review time—by up to 90%!&lt;br&gt;
&lt;br&gt;
&lt;br&gt;
In this webinar, we will introduce you to the Human Somatic Mutation Database (HSMD)—a new somatic database developed by QIAGEN that contains extensive genomic content relevant to solid tumors and hematological malignancies. Available as a web-based application, this expert-curated resource contains data from over 419,000 real-world clinical oncology cases combined with insights from the QIAGEN Knowledge Base, providing clinically observed variant frequencies across diseases, and diving deep into gene-level, alteration-level and disease-level information. Users can easily search and explore mutational characteristics across genes, synthesize key findings from drug labels and professional guidelines, explore clinical trials, and receive detailed annotations for each observed variant. In addition, users can interrogate a bibliography of over 170,000 PubMed articles and access detailed alteration-specific summaries written by PhD scientists.</video:description>
            <video:publication_date>2023-03-29T15:29:52+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2943</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>hsmd</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/85089594/lowering-ngs-analysis-cost-at</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=85089594</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/85089594/c4b712bfb0c2f800c703155d26f3a3ba/video_medium/lowering-ngs-analysis-cost-at-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/85089594/c4b712bfb0c2f800c703155d26f3a3ba/small/lowering-ngs-analysis-cost-at-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Lowering NGS analysis cost at lightspeed</video:title>
            <video:description>Advances in next-generation sequencing (NGS) technologies over the years have significantly decreased the cost of whole genome (WGS) and whole exome (WES) applications, such that they are considered the standard of care within multiple healthcare organizations. Arguably, the most significant NGS challenges lie within data analysis and interpretation. Various parameters such as sensitivity, specificity, cost and speed are critical for secondary analysis, while accurate, comprehensive and up-to-date content is required for reliable interpretation. These aspects are crucial, especially where rapid turnaround times are critical for improved health outcomes. There is no better example than the implementation of WES and WGS in the neonatal and pediatric intensive care units (NICU/PICU).
&lt;p&gt;Watch this webinar to learn about QIAGEN CLC LightSpeed, a secondary analysis software that dramatically reduces the cost and time it takes to analyze WES and WGS data and generate actionable insights.&lt;/p&gt;
&lt;p&gt;Key learning objectives&lt;/p&gt;
&lt;p&gt;Learn how to process FASTQ files to obtain quality variant calls in minutes&lt;br&gt;
Discover how LightSpeed can be used on existing laptops, desktops, servers, HPC or in the cloud&lt;br&gt;
Learn how LightSpeed will reduce your cost without sacrificing quality&lt;br&gt;
Explore how LightSpeed enables the fastest WES and WGS workflow from FASTQ to report&lt;/p&gt;</video:description>
            <video:publication_date>2023-03-29T14:55:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1795</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>CLC LightSpeed</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/84564113/biomarker-discovery-and-disease</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=84564113</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/84564113/bb7e5c7a98da4a66cb165c56548e4c15/video_medium/biomarker-discovery-and-disease-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/84564113/bb7e5c7a98da4a66cb165c56548e4c15/small/biomarker-discovery-and-disease-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Biomarker discovery and disease pathology investigation using OmicSoft and Ingenuity Pathway Analysis</video:title>
            <video:description>In this training, attendees will learn how to harness curated ‘omics datasets in OmicSoft DiseaseLand and curated research findings in IPA to discover new potential biomarkers. Using a neurological disorder as a case study, we will:&lt;p&gt;&lt;/p&gt;
&lt;p&gt;• Search public RNA-Seq datasets for tissue- and disease-specific differential expression in brain&lt;br&gt;
• Identify genes whose expression correlates with our factor within a sample group&lt;br&gt;
• Prioritize candidate biomarkers by disease vs. normal expression&lt;br&gt;
• Simulate biomarker activity changes to determine potential mechanisms of action&lt;br&gt;
Investigation of inflammatory, infectious, oncological, and other disorders can also be done using similar approach and will be highlighted during this training.&lt;/p&gt;</video:description>
            <video:publication_date>2023-03-16T16:01:02+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5290</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>drug discovery</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/84563028/drug-treatment-data-investigation</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=84563028</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/84563028/ee1fcc8f016958df32738ac8e368914a/video_medium/drug-treatment-data-investigation-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/84563028/ee1fcc8f016958df32738ac8e368914a/small/drug-treatment-data-investigation-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Drug treatment data investigation using Omicsoft and Ingenuity Pathway Analysis</video:title>
            <video:description>In this training, the trainer will go over how to utilize public drug treatment data from GEO, LINCS, and other sources to do discoveries regarding drug treatment investigation, biomarker discovery and validation. We will also use IPA to gain insight on the biological mechanisms of these treatments.
&lt;p&gt;Participants will learn how to:&lt;br&gt;
• Easily search for public studies relevant to drug treatment of their interest&lt;br&gt;
• Identify a list of key genes/biomarkers relevant to a treatment or pathological condition&lt;br&gt;
• Send differential expression data to Ingenuity Pathway Analysis to investigate biological mechanism (underlying disease pathology, drug response and more)&lt;br&gt;
• Generate expression, correlation, heatmap and other plots to investigate key genes and biomarkers&lt;br&gt;
• Explore other treatments that may share similar gene expression patterns&lt;/p&gt;</video:description>
            <video:publication_date>2023-03-16T15:13:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6205</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>drug discovery</video:tag>
            <video:tag>ipa webinar</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/84318668/comprehensive-molecular-tumor</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=84318668</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/84318668/87d4b9e71d8fcdce2b42b8b37442fb07/video_medium/comprehensive-molecular-tumor-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/84318668/87d4b9e71d8fcdce2b42b8b37442fb07/small/comprehensive-molecular-tumor-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Comprehensive Molecular Tumor Analysis with Alacris Theranostics</video:title>
            <video:description>Precision oncology approaches have made great strides harnessing individual tumor mutation profiles to guide targeted therapy choices. However, deeper molecular insights are needed to improve personalized treatment decisions. Integrating gene expression analysis in personalized oncology provides an additional level of insight. These analyses include evaluating expressed mutations and drug targets, novel gene fusions, clinically relevant signatures, and the tumor immune microenvironment (TME).
&lt;p&gt;Alacris Theranostics developed the Comprehensive Molecular Tumor Analysis (CMTA), a NGS-based tumor diagnostic test. The test integrates whole exome and transcriptomic sequencing (WES and RNAseq). The test deploys as an end-to-end accredited diagnostic platform from tumor sample uptake (FFPE or frozen) to personalized clinical interpretation reports.&amp;nbsp; CMTA is a tumor-agnostic test that displays a unique molecular view of each sample. CMTA is a useful approach for refractory cancers with complex patterns or tumors of unknown origin.&lt;/p&gt;
&lt;p&gt;In this webinar, viewers will:&lt;/p&gt;
&lt;p&gt;Learn about the strategy implemented in Alacris’ bioinformatics pipeline to identify cancer-relevant somatic events&lt;br&gt;
Learn how Alacris uses QCI Interpret for Oncology to annotate variants and identify potential therapies&lt;br&gt;
Be eligible for a complimentary QCI Interpret demo and sample report&lt;/p&gt;</video:description>
            <video:publication_date>2023-03-09T16:16:33+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3693</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>oncology</video:tag>
            <video:tag>qci interpret</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/83992555/omics-data-queries-made-simple</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=83992555</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/83992555/2cbb0dc8e872acd714056576f9ad0215/video_medium/omics-data-queries-made-simple-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/83992555/2cbb0dc8e872acd714056576f9ad0215/small/omics-data-queries-made-simple-thumbnail.jpg</video:thumbnail_loc>
            <video:title>‘Omics data queries made simple - introducing the QIAGEN OmicSoft API</video:title>
            <video:description>&lt;div&gt;&lt;p&gt;Do you struggle with finding relevant 'omics datasets for your drug discovery and biomarker projects?  Have you ever spent hours or days sifting through data portals looking for data only to come up empty or realizing you need to normalize the data before you can use it?&lt;span&gt;&amp;nbsp;&lt;br&gt;&lt;/span&gt;&lt;span&gt;&amp;nbsp;&lt;br&gt;&lt;/span&gt;In this short video we introduce the QIAGEN OmicSoft API, a robust way to quickly summarize data, return gene signatures and collect full datasets that match your specific queries.  &amp;nbsp;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;Want to learn more?&amp;nbsp; Visit &lt;a href="https://digitalinsights.qiagen.com/integrated-omics-data/"&gt;QIAGEN OmicSoft&lt;/a&gt;.&amp;nbsp;&lt;/p&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2023-03-03T19:04:47+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>137</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>api</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/83851520/ipa-deeper-dive-mirna-investigation-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=83851520</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/83851520/115ca0d0018998d3043ac42813ad9381/video_medium/ipa-deeper-dive-mirna-investigation-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/83851520/115ca0d0018998d3043ac42813ad9381/small/ipa-deeper-dive-mirna-investigation-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title> IPA deeper dive: miRNA investigation using QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>In this 90-minute training session, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.&lt;/p&gt;
&lt;p&gt;Topics covered:&lt;br /&gt;
- How to analyze miRNA-seq datasets alone, or both miRNA and corresponding mRNA datasets together&lt;br /&gt;
- How to use QIAGEN IPA without a dataset, using miRNA IDs&lt;br /&gt;
- Introduction to databases and curated content specific to miRNA&lt;br /&gt;
- How to effectively apply various filters and functionalities to identify biomarkers, key targets and novel biological mechanisms</video:description>
            <video:publication_date>2023-03-01T14:03:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5199</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>mirna</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/83463250/investigating-biomarkers-and-drug</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=83463250</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/83463250/8258c49a528a8d497029f0b5c9aea614/video_medium/investigating-biomarkers-and-drug-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/83463250/8258c49a528a8d497029f0b5c9aea614/small/investigating-biomarkers-and-drug-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating biomarkers and drug targets from public data using QIAGEN Omicsoft Diseaseland and QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>In this 90-minute webinar, we’ll cover how to easily query non-oncology public data (GEO, SRA and more) to:&lt;br&gt;
• Rapidly query and identify public datasets that fit our search criteria&lt;br&gt;
• Discover and validate biomarker expression in disease tissue, different treatments and response groups&lt;br&gt;
• Identify a list of biomarkers specific to a condition (non-responders, disease-specific, cell-type specific and more)&lt;br&gt;
• Confirm condition-specific biomarkers through gene expression heatmaps&lt;br&gt;
• Investigate biological mechanisms through network study</video:description>
            <video:publication_date>2023-02-17T14:50:39+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6419</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/83370199/addressing-the-multiple-testing</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=83370199</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/83370199/5e4905674982df31594d979611f6ab67/video_medium/addressing-the-multiple-testing-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/83370199/5e4905674982df31594d979611f6ab67/small/addressing-the-multiple-testing-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Addressing the multiple testing problem in pathway analysis with QIAGEN Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;Pathway analysis is a powerful tool when looking at biological data. But how can you interpret the results if you don't fully understand the statistical results?  In this brief video, we walk you through relevant statistical topics such as:
&lt;/p&gt;&lt;ul&gt;&lt;li&gt;What does multiple hypothesis testing mean?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
How do you control for multiple hypothesis testing when performing pathway analysis?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
Which corrected p-value method should you use?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
What does the p-value threshold mean in terms of your results?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Where can I adjust the p-values of overlap in IPA?&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;Time stamp information:&lt;/p&gt;&lt;p&gt;0:00-1:15 Introduction&lt;br&gt;&lt;/p&gt;&lt;p&gt;1:16-1:49 Example experiment&lt;br&gt;&lt;/p&gt;&lt;p&gt;1:50-1:56 Definition of the null hypothesis for IPA analyses&lt;br&gt;1:57-5:28 P-values and the probability of false positives&lt;br&gt;5:29-7:26 The Family Wise Error Rate&lt;br&gt;7:27-8:13 The False Discovery Rate&lt;br&gt;8:14 13:52 How False Discovery Rate method works&lt;br&gt;13:53-16:64 The Benjamini-Hochberg method and an example of how it works&lt;br&gt;16:65-18:46 How to apply the Benjamini-Hochberg method in your IPA results&lt;br&gt;18:47-19:19 How to get more information about IPA&lt;/p&gt; &lt;p&gt;Visit &lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipahttp://"&gt;QIAGEN IPA&lt;/a&gt; to learn more&lt;/p&gt;&lt;p&gt;

Keywords: FDR, False Discovery Rate, Benjamini Hochberg, Benjamini Hochberg correction, Benjamini Hochberg FDR, IPA, Ingenuity Pathway Analysis, IPA tutorials, Ingenuity Pathway Analysis tutorials, QIAGEN, corrected p value, adjust p-value, multiple hypothesis testing, statistics, p-values&lt;br&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2023-02-14T15:43:33+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1159</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
            <video:tag>tutorials</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/83037544/take-your-genome-research-to-the</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=83037544</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/83037544/8590517c0bfb9884a7aaddd459997d73/video_medium/take-your-genome-research-to-the-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/83037544/8590517c0bfb9884a7aaddd459997d73/small/take-your-genome-research-to-the-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Take your genome research to the next level with QCI Interpret Translational</video:title>
            <video:description>Discovery of new genes implicated in hereditary diseases or cancer progression is challenging and advancing rapidly with an increase in the amount of cohort data to analyze. It is estimated that every day one new gene is discovered to be associated with a disease. QCI Interpret Translational can get your research to the next level by providing you all the necessary analysis tools with the world’s most comprehensive and up-to-date curated scientific evidence. Get valuable and reliable insights for your research project and speed up your discoveries by using a streamlined NGS analysis workflow in a user-friendly interface without needing bioinformatics expertise.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;In this webinar, viewers will have the opportunity to:&lt;/p&gt;
&lt;p&gt;Explore capabilities which can enable them to accelerate discoveries from hereditary or tumor cohort analyses&lt;br&gt;
Discover interactive tools with current and comprehensive associations between gene variants and diseases&lt;br&gt;
Learn how these resources are supported by unique curated content among other integrated scientific evidence&lt;/p&gt;</video:description>
            <video:publication_date>2023-02-03T04:39:38+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2592</video:duration>
            <video:category>QCI I Translational</video:category>
            <video:tag>qci interpret translational</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/83037542/whats-new-in-qiagen-clc-genomics-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=83037542</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/83037542/ce359af970f2509120c1bb92c4cab581/video_medium/whats-new-in-qiagen-clc-genomics-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/83037542/ce359af970f2509120c1bb92c4cab581/small/whats-new-in-qiagen-clc-genomics-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>What’s new in QIAGEN CLC Genomics Workbench version 23</video:title>
            <video:description>QIAGEN CLC Genomics Workbench version 23 is here with exciting updates we'd like to share with you. These include:
&lt;p&gt;Our new QIAGEN CLC LightSpeed Module which provides the world’s fastest and cheapest whole genome sequencing (WGS) and (WES) analyses&lt;br&gt;
Our new and improved QIAGEN CLC Cloud Module which provides direct access to your AWS S3 files and frees up your local workbench resources&lt;br&gt;
New capabilities in QIAGEN CLC Microbial Genomics Module&lt;br&gt;
New analyses in QIAGEN CLC Single Cell Analysis Module&lt;br&gt;
New cloning tools&lt;br&gt;
And many more new and improved workflow capabilities&lt;/p&gt;</video:description>
            <video:publication_date>2023-02-03T04:39:22+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2610</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/82995750/ipa-deeper-dive-discoveries-from</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=82995750</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/82995750/a02ff60d9e4e50948888a7642d5958a9/video_medium/ipa-deeper-dive-discoveries-from-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/82995750/a02ff60d9e4e50948888a7642d5958a9/small/ipa-deeper-dive-discoveries-from-thumbnail.jpg</video:thumbnail_loc>
            <video:title> IPA Deeper Dive: Discoveries from comparative analyses in IPA</video:title>
            <video:description>Take your IPA analysis results to the next level by comparing them to your own analyses or from a library of over 100k pre-computed datasets to find similar or opposite biological signatures. Identify key genes or entities and then explore how they are expressed across normal tissues, diseases and more from over 600k biological samples to gain deep context.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Attendees will learn how to:&lt;/p&gt;
&lt;p&gt;• Advance insights with the IPA Analysis Match comparison feature to compare large numbers of user datasets and/or public datasets (from GEO, SRA, cancer collections and more)&lt;/p&gt;
&lt;p&gt;• Use and interpret the IPA Activity Plot feature to identify key genes and regulators common across datasets&lt;/p&gt;
&lt;p&gt;• Explore identified key genes in Land Explorer to query and visualize expression across tissues, disease states, mutation status, including survival curves&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Specific IPA analyses to be featured include:&lt;/p&gt;
&lt;p&gt;• Analysis Match&lt;/p&gt;
&lt;p&gt;• Activity Plot&lt;/p&gt;
&lt;p&gt;• Pattern Search&lt;/p&gt;
&lt;p&gt;• QIAGEN OmicSoft Land Explorer&lt;/p&gt;
&lt;p&gt;• Graphical Summary of analysis results&lt;/p&gt;
&lt;p&gt;• Among others</video:description>
            <video:publication_date>2023-01-31T18:48:25+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5672</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/82862240/16s18sits-sequencing-analysis-using</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=82862240</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/82862240/9f4d02a1fda061009d8d7f6b7f546f09/video_medium/16s18sits-sequencing-analysis-using-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/82862240/9f4d02a1fda061009d8d7f6b7f546f09/small/16s18sits-sequencing-analysis-using-thumbnail.jpg</video:thumbnail_loc>
            <video:title> 16S/18S/ITS sequencing analysis using CLC Genomics Workbench</video:title>
            <video:description>QIAGEN CLC Microbial Genomics Module provides tools and workflows for a broad range of bioinformatics applications, including microbiome analysis, isolate characterization, functional metagenomics and antimicrobial resistance characterization. The module supports the analysis of bacterial, viral and eukaryotic (fungal) genomes and metagenomes.&lt;/p&gt;
&lt;p&gt;This training will be focused on amplicon-based taxonomic profiling (16S/18S/ITS sequencing OTU clustering). The trainer will cover:&lt;/p&gt;
&lt;p&gt;· Overview of different tools within QIAGEN CLC Microbial Genomics Module and research areas supported&lt;/p&gt;
&lt;p&gt;· For taxonomic profiling&lt;/p&gt;
&lt;p&gt;o Importing data&lt;/p&gt;
&lt;p&gt;o Utilization of metadata&lt;/p&gt;
&lt;p&gt;o Downloading and managing references&lt;/p&gt;
&lt;p&gt;o Walk through of OTU clustering workflow (analytical pipeline)&lt;/p&gt;
&lt;p&gt;o Downstream processing of abundance tables&lt;/p&gt;
&lt;p&gt;o Creating and exporting high-quality graphics</video:description>
            <video:publication_date>2023-01-25T17:28:59+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4763</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>microbial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/82583085/discoveries-from-public</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=82583085</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/82583085/0a385b62ad95063fa651b2a9ef9b0bba/video_medium/discoveries-from-public-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/82583085/0a385b62ad95063fa651b2a9ef9b0bba/small/discoveries-from-public-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discoveries from public immuno-oncology studies using Omicsoft and Ingenuity Pathway Analysis</video:title>
            <video:description>This training will focus on how QIAGEN Omicsoft Studio and Ingenuity Pathway Analysis (IPA) can be used to discover new biomarkers, validate (or study) drug targets and identify novel mechanism of action with user and/or public Immuno-Oncology studies from resources like GEO, SRA, TCGA and more.&lt;br&gt;
Attendees will learn how to&lt;br&gt;
• Investigate expression of a gene/biomarker/drug target across different treatments and diseases&lt;br&gt;
• Derive a biomarker/gene signature from specific condition (example non-responders of a drug, a specific disease/disease subtype and more)&lt;br&gt;
• Correlate expression of multiple genes and biomarkers&lt;br&gt;
• Compare different experimental groups (user and/or public data) at both gene expression and pathways/regulatory networks activity levels</video:description>
            <video:publication_date>2023-01-12T17:17:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5711</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>FAS Training</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/82583074/ipa-deep-dive-generating-novel</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=82583074</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/82583074/72345a0b9ba76b8a7113b34edfb9cff9/video_medium/ipa-deep-dive-generating-novel-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/82583074/72345a0b9ba76b8a7113b34edfb9cff9/small/ipa-deep-dive-generating-novel-thumbnail.jpg</video:thumbnail_loc>
            <video:title> IPA Deep Dive: Generating Novel Discoveries in IPA - even when you don’t have data</video:title>
            <video:description>Take a deeper dive into the discovery capabilities of QIAGEN IPA. In this training, viewers will learn how to:&lt;/p&gt;
&lt;p&gt;• Leverage the IPA knowledge base to generate hypotheses regarding novel biological mechanisms, discover biomarkers and targets as well as design experiments.&lt;/p&gt;
&lt;p&gt;• Generate interactive networks using genes, chemicals and diseases of their interest&lt;/p&gt;
&lt;p&gt;• Search and interpret pathway analyses generated from public data (GEO,&lt;/p&gt;
&lt;p&gt;SRA etc.)&lt;/p&gt;
&lt;p&gt;• Study gene or biomarker expression across different tissues, diseases, cell types and&lt;/p&gt;
&lt;p&gt;more from public sources&lt;/p&gt;
&lt;p&gt;• Correlate expression of genes across the biological condition of their interest&lt;/p&gt;
&lt;p&gt;• Generate survival curves for cohorts generated based on expression or mutation&lt;/p&gt;
&lt;p&gt;status of a gene&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Specific IPA analyses to be featured include:&lt;/p&gt;
&lt;p&gt;• Network construction (with and without data)&lt;/p&gt;
&lt;p&gt;• Activity Plot&lt;/p&gt;
&lt;p&gt;• Pattern Search&lt;/p&gt;
&lt;p&gt;• QIAGEN OmicSoft Land Explorer&lt;/p&gt;
&lt;p&gt;• Among others</video:description>
            <video:publication_date>2023-01-12T17:16:39+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5406</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/82537520/accelerate-rd-in-new-cancer-drug</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=82537520</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/82537520/666bd66215b5d9eeb0b2fd0360b7a56d/video_medium/accelerate-rd-in-new-cancer-drug-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/82537520/666bd66215b5d9eeb0b2fd0360b7a56d/small/accelerate-rd-in-new-cancer-drug-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Accelerate R&amp;D in New Cancer Drug Development: A Translational Research Use-case and Discussion</video:title>
            <video:description>The paradigm of predictive biomarkers of therapeutic responses to drug intervention has dramatically transformed cancer drug development. However, as translational research on cancer drug development rapidly evolves, the ability to confidently and efficiently identify specific oncogenes and tumor suppressors involved in oncogenesis is becoming increasingly difficult.
&lt;p&gt;This webinar will focus on the translational research applications of the Human Somatic Mutation Database (HSMD)—a somatic database developed by QIAGEN that contains extensive genomic content relevant to solid tumors and hematological malignancies. Available as a web-based application, this expert-curated resource contains content from over 410,000 real-world clinical oncology cases combined with content from the QIAGEN Knowledge Base, providing gene-level, alteration-level, and disease-level information including clinically observed gene and variant frequencies across diseases. Users can easily search and explore mutational characteristics across genes, synthesize key findings from drug labels, clinical trials, and professional guidelines, and receive detailed annotations for each observed variant. In addition, users can interrogate a bibliography of over 170,000 variant-specific PubMed articles and access individual summaries of alteration-type specific information written by Ph.D. scientists.&lt;/p&gt;
&lt;p&gt;Viewers will:&lt;/p&gt;
&lt;p&gt;Learn what content sources power HSMD&lt;br&gt;
Understand how to use and apply HSMD for multiple applications, including translational research and&amp;nbsp;pharmaceutical development&lt;br&gt;
Examine a use case of how to use HSMD to accelerate research and development in new cancer drug development programs&lt;br&gt;
Receive a complimentary 5-day trial of HSMD.&lt;/p&gt;</video:description>
            <video:publication_date>2023-01-10T13:51:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1473</video:duration>
            <video:category>HSMD</video:category>
            <video:tag>hsmd</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/81775929/drug-treatment-toxicology-and-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=81775929</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968558/81775929/013d207b1164152b350cf69d43009001/video_medium/drug-treatment-toxicology-and-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968558/81775929/013d207b1164152b350cf69d43009001/small/drug-treatment-toxicology-and-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Drug treatment, toxicology and target safety assessment using QIAGEN IPA and OmicSoft</video:title>
            <video:description>In this 90-minute training, you’ll learn how to do drug treatment, toxicology and target safety assessment-related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.&lt;br&gt;
Using public data from GTEx (normal tissue), GEO, cancer collections and more, you’ll learn how to use Omicsoft Lands to:&lt;br&gt;
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more&lt;br&gt;
• Correlate expression of two or more genes&lt;br&gt;
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more
&lt;p&gt;Using findings from peer-reviewed publications and other sources, attendees we’ll explore with you how to use QIAGEN IPA to:&lt;br&gt;
• Study the impact of targeting a gene/protein on different toxicological and biological functions&lt;br&gt;
• Derive tox findings for a gene of interest from QIAGEN IPA’s knowledgebase&lt;br&gt;
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset&lt;br&gt;
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries&lt;/p&gt;</video:description>
            <video:publication_date>2022-12-01T12:55:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5313</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>FAS Training</video:tag>
            <video:tag>ipa+omicsoft</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/81462653/authenticated-and-reproducible-cell</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=81462653</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/81462653/9930c353a257206e74f70cafb288587c/video_medium/authenticated-and-reproducible-cell-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/81462653/9930c353a257206e74f70cafb288587c/small/authenticated-and-reproducible-cell-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Authenticated and reproducible cell line 'omics data</video:title>
            <video:description>Have you ever tried to access the genomic profiles of cell lines before using them in your preclinical experiments just to come up empty-handed? Maybe you’ve scoured public databases for gene expression information on your cell line to find the reported genomic profile doesn't match the cell line data you recently purchased?
&lt;p&gt;We understand that knowing the genomic identity of your cell lines is fundamental to the success of your preclinical experiments. Unfortunately, most publicly available sources have little or no cell line' omics data, leaving you to fend for yourself.&lt;/p&gt;
&lt;p&gt;That's why we've teamed up with ATCC, the market leader in global biological materials and authenticated cell lines, to deliver you manually curated cell line ‘omics data from the most popular cell lines offered by ATCC. We've collected this data into ATCC Cell Line Land, our continually growing database of cell line 'omics data from both common and novel human and mouse cell lines, primary tissues and cells from ATCC. ATCC Cell Line Land gives you access to standardized, authenticated and reproducible cell line 'omics data characterizations which can be traced back to physical lots of cells in ATCC's biorepository.&lt;/p&gt;
&lt;p&gt;Attend our joint webinar with ATCC to learn about and explore ATCC Cell Line Land, including:&lt;/p&gt;
&lt;p&gt;The key limitations of public cell line data that drove its development&lt;br&gt;
How we curate our data in the QIAGEN OmicSoft Lands framework&lt;br&gt;
Why you can depend on the provenance of the data&lt;br&gt;
The different types of 'omics data and metadata available&lt;br&gt;
How it empowers you to plan and design your preclinical experiments more precisely&lt;br&gt;
How to identify specific cell lines that express your gene of interest and those that don't&lt;br&gt;
How to validate specific mutations from the literature&lt;/p&gt;
&lt;p&gt;Who should attend? Biologists, preclinical researchers, bioinformaticians, data scientists&lt;/p&gt;
&lt;p&gt;Click here to learn how.&lt;/p&gt;</video:description>
            <video:publication_date>2022-11-21T12:33:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2434</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>atcc</video:tag>
            <video:tag>atcc cell line land</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/81422637/emerging-clinical-trends-in-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=81422637</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/81422637/5bd9dcc53e86885298fe0b0f683b2b65/video_medium/emerging-clinical-trends-in-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/81422637/5bd9dcc53e86885298fe0b0f683b2b65/small/emerging-clinical-trends-in-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Emerging clinical trends in germline NGS testing: Expert Panel Discussion in USA</video:title>
            <video:description>Hereditary NGS Clinical Summit Series: Build a Next-Gen Software Workflow for Germline Testing
&lt;p&gt;Over the past two decades, huge advancements in sequencing technology have transformed our understanding of human genetics, leading to faster diagnoses, earlier prevention, and better treatments. But as more and more people have their genomes sequenced, outpacing our ability to analyze and interpret the generated data, we must embrace new tools, technologies, and strategies to realize the full value of genomic innovation.&lt;/p&gt;
&lt;p&gt;Advance your lab’s germline testing capabilities by learning how to build a next-gen software workflow, as part of the Hereditary NGS Clinical Summit Series, a two-part, free-to-attend virtual event for variant scientists, bioinformaticians, clinical geneticists, and lab managers.&lt;/p&gt;
&lt;p&gt;An expert panel of leading medical geneticists, variant scientists and bioinformaticians will discuss emerging scientific and clinical trends in germline NGS testing.&lt;/p&gt;
&lt;p&gt;Attendees will gain:&lt;/p&gt;
&lt;p&gt;Insight into how leading laboratories address bottlenecks in their NGS data pipelines&lt;br&gt;
Tips on how to solve process inefficiencies of critical workflow components, including variant curation and interpreting rare or novel variants&lt;br&gt;
An outlook on how germline NGS analysis and interpretation will change in the next 5 years and how to remain at the forefront of innovation&lt;/p&gt;</video:description>
            <video:publication_date>2022-11-17T18:58:10+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4925</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>hereditary</video:tag>
            <video:tag>hereditary ngs summit</video:tag>
            <video:tag>qci interpret</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/81412632/emerging-clinical-trends-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=81412632</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/81412632/7f32e5b3f1a7b21070a98391d15d4557/video_medium/emerging-clinical-trends-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/81412632/7f32e5b3f1a7b21070a98391d15d4557/small/emerging-clinical-trends-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Emerging clinical trends in germline NGS testing: Expert Panel Discussion in Europe</video:title>
            <video:description>&lt;p&gt;&lt;b&gt;Hereditary NGS Clinical Summit Series: Build a Next-Gen Software Workflow for Germline Testing&lt;/b&gt;&lt;/p&gt;&lt;b&gt;
&lt;/b&gt;&lt;p&gt;Over the past two decades, huge advancements in sequencing technology have transformed our understanding of human genetics, leading to faster diagnoses, earlier prevention, and better treatments. But as more and more people have their genomes sequenced, outpacing our ability to analyze and interpret the generated data, we must embrace new tools, technologies, and strategies to realize the full value of genomic innovation.&lt;/p&gt;
&lt;p&gt;Advance your lab’s germline testing capabilities by learning how to build a next-gen software workflow, as part of the Hereditary NGS Clinical Summit Series, a two-part, free-to-attend virtual event for variant scientists, bioinformaticians, clinical geneticists, and lab managers.&lt;/p&gt;
&lt;p&gt;An expert panel of leading medical geneticists, variant scientists and bioinformaticians will discuss emerging scientific and clinical trends in germline NGS testing.&lt;/p&gt;
&lt;p&gt;Attendees will gain:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;Insight into how leading laboratories address bottlenecks in their NGS data pipelines&lt;/li&gt;&lt;li&gt;
Tips on how to solve process inefficiencies of critical workflow components, including variant curation and interpreting rare or novel variants&lt;/li&gt;&lt;li&gt;
An outlook on how germline NGS analysis and interpretation will change in the next 5 years and how to remain at the forefront of innovation&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2022-11-17T06:55:57+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4225</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>hereditary</video:tag>
            <video:tag>hereditary ngs summit</video:tag>
            <video:tag>qci interpret</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/81198429/understanding-and-maximising-qiaseq</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=81198429</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/81198429/a2cba6e552b09cf31f46b1dbd53de635/video_medium/understanding-and-maximising-qiaseq-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/81198429/a2cba6e552b09cf31f46b1dbd53de635/small/understanding-and-maximising-qiaseq-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Understanding and maximising QIAseq secondary analysis in the QIAGEN CLC Genomics Workbench</video:title>
            <video:description>Join us for a 60 minute training session where attendees will understand how to analyse data from targeted DNA and RNAscan panels using the QIAGEN CLC Genomics Workbench and how to adapt existing workflows to best suit laboratory-specific requirements.</video:description>
            <video:publication_date>2022-11-04T13:44:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3690</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clinical informatics services</video:tag>
            <video:tag>enterprise</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/81198359/investigating-public-scrna-data</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=81198359</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/81198359/d7ac9539b19864c3e5343a5b440af60b/video_medium/investigating-public-scrna-data-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/81198359/d7ac9539b19864c3e5343a5b440af60b/small/investigating-public-scrna-data-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Investigating public scRNA data using OmicSoft and QIAGEN IPA</video:title>
            <video:description>Single cell RNA-sequencing (scRNA-seq) has been widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, development of targeted therapy (including immunotherapy) and more. Accordingly tremendous amount of scRNA-seq data has been deposited to public domains like GEO.
&lt;p&gt;In this training, attendees will learn how to&lt;/p&gt;
&lt;p&gt;· Locate public single cell studies of their interest using Omicsoft Single Cell Lands&lt;/p&gt;
&lt;p&gt;· Study different cell types by dimension reduction plots (example t-SNE, UMAP)&lt;/p&gt;
&lt;p&gt;· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)&lt;/p&gt;
&lt;p&gt;· Identify key pathways and regulators from scRNA-seq data using Ingenuity Pathway Analysis&lt;/p&gt;</video:description>
            <video:publication_date>2022-11-04T13:42:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5568</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>FAS Training</video:tag>
            <video:tag>omicsoft tutorial</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/79848961/next-gen-software-workflow-for</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=79848961</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/79848961/844065c6f09af7737f2bd428973f3272/video_medium/next-gen-software-workflow-for-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/79848961/844065c6f09af7737f2bd428973f3272/small/next-gen-software-workflow-for-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Next-gen software workflow for germline testing: QIAGEN Expert talks in USA</video:title>
            <video:description>&lt;p&gt; &lt;b&gt;Hereditary NGS Clinical Summit Series: Build a Next-Gen Software Workflow for Germline Testing&lt;/b&gt;&lt;/p&gt;&lt;p&gt;Over the past two decades, huge advancements in sequencing technology have transformed our understanding of human genetics, leading to faster diagnoses, earlier prevention, and better treatments. But as more and more people have their genomes sequenced, outpacing our ability to analyze and interpret the generated data, we must embrace new tools, technologies, and strategies to realize the full value of genomic innovation.&lt;/p&gt;&lt;p&gt;Advance your lab’s germline testing capabilities by learning how to build a next-gen software workflow, as part of the Hereditary NGS Clinical Summit Series, a two-part, free-to-attend virtual event for variant scientists, bioinformaticians, clinical geneticists, and lab managers.&amp;nbsp;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Part I: Thursday, October 13, 2022&amp;nbsp;&lt;/p&gt;&lt;p&gt;An informative scientific and clinical segment focusing on how to streamline and scale components of the NGS analytical workflow.&lt;/p&gt;&lt;p&gt;Attendees will learn:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;How to simplify NGS secondary analysis workflows to 5 steps&lt;/li&gt;&lt;li&gt;How to solve every hereditary disorder case for all types of mutations&lt;/li&gt;&lt;li&gt;How to address current challenges in germline and exome analytics&amp;nbsp;&lt;/li&gt;&lt;/ul&gt;Click &lt;a href="https://digitalinsights.qiagen.com/products-overview/clinical-insights-portfolio/qiagen-clinical-insight/qci-interpret/"&gt;here&lt;/a&gt; to learn more.&lt;br&gt;</video:description>
            <video:publication_date>2022-10-18T14:44:29+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>7595</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>hereditary</video:tag>
            <video:tag>hereditary ngs summit</video:tag>
            <video:tag>qci interpret</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/79848955/next-gen-software-workflow-for-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=79848955</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968561/79848955/7076286132fd906f856326e5d50e4db5/video_medium/next-gen-software-workflow-for-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968561/79848955/7076286132fd906f856326e5d50e4db5/small/next-gen-software-workflow-for-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Next-gen software workflow for germline testing: QIAGEN Expert talks in Europe</video:title>
            <video:description>&lt;p&gt;&lt;b&gt;Hereditary NGS Clinical Summit Series: Build a Next-Gen Software Workflow for Germline Testing&lt;/b&gt;&lt;/p&gt;&lt;p&gt;Over the past two decades, huge advancements in sequencing technology have transformed our understanding of human genetics, leading to faster diagnoses, earlier prevention, and better treatments. But as more and more people have their genomes sequenced, outpacing our ability to analyze and interpret the generated data, we must embrace new tools, technologies, and strategies to realize the full value of genomic innovation.&lt;/p&gt;&lt;p&gt;Advance your lab’s germline testing capabilities by learning how to build a next-gen software workflow, as part of the Hereditary NGS Clinical Summit Series, a two-part, free-to-attend virtual event for variant scientists, bioinformaticians, clinical geneticists, and lab managers.&lt;/p&gt;&lt;p&gt;Part I: Thursday, October 13, 2022&amp;nbsp;&lt;/p&gt;&lt;p&gt;An informative scientific and clinical segment focusing on how to streamline and scale components of the NGS analytical workflow.&lt;/p&gt;&lt;p&gt;Attendees will learn:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;How to simplify NGS secondary analysis workflows to 5 steps&lt;/li&gt;&lt;li&gt;How to solve every hereditary disorder case for all types of mutations&lt;/li&gt;&lt;li&gt;How to address current challenges in germline and exome analytics&amp;nbsp;&lt;/li&gt;&lt;/ul&gt;Click &lt;a href="https://digitalinsights.qiagen.com/products-overview/clinical-insights-portfolio/qiagen-clinical-insight/qci-interpret/"&gt;here&lt;/a&gt; to learn more.&lt;br&gt;</video:description>
            <video:publication_date>2022-10-18T14:44:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6633</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>hereditary</video:tag>
            <video:tag>hereditary ngs summit</video:tag>
            <video:tag>qci interpret</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/79596011/transforming-biological-discovery</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=79596011</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/79596011/3de9779ec4910bb2929c5bdc6af692e4/video_medium/transforming-biological-discovery-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/79596011/3de9779ec4910bb2929c5bdc6af692e4/small/transforming-biological-discovery-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Transforming biological discovery and data science – How direct access to curated data and biological relationships can transform integrated bioinformatics and data science</video:title>
            <video:description>In this 90-minute webinar, you will learn more about the range of content offerings from QIAGEN Digital Insights that can empower and transform your in-house discovery and data science projects.
&lt;p&gt;· Discover the virtual biobank of transcriptomic and non-transcriptomic data that is available in QIAGEN OmicSoft DiseaseLand and QIAGEN OmicSoft OncoLand&lt;/p&gt;
&lt;p&gt;· Understand the rigorous curation process that ensures data fidelity and the ability to use rich, descriptive metadata to identify samples and comparisons&lt;/p&gt;
&lt;p&gt;· Learn how over 600,000 samples of curated experimental data can be accessed via web-based and desktop applications and are available in a complete downloadable form for local integration and mining&lt;/p&gt;
&lt;p&gt;· Discover more about QIAGEN Biomedical Knowledge Base (BKB), our knowledge base of biological relationships that provides the foundation for QIAGEN Ingenuity Pathway Analysis (IPA), but which is now available for construction of biomedical knowledge graphs, AI-driven target identification and local knowledge integration&lt;/p&gt;</video:description>
            <video:publication_date>2022-10-12T14:44:47+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6660</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>FAS Training</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/79594942/public-single-cell-rna-seq-data</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=79594942</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/79594942/df7071666681a0bff7c0949cbe90538b/video_medium/public-single-cell-rna-seq-data-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/79594942/df7071666681a0bff7c0949cbe90538b/small/public-single-cell-rna-seq-data-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Public single cell RNA-seq data investigation using Omicsoft and Ingenuity Pathway Analysis</video:title>
            <video:description>Slides from this training:&lt;br&gt;&lt;a href="https://qiagen.showpad.com/share/qm9IZA718x6x5h6pfsiTa"&gt;https://qiagen.showpad.com/share/qm9IZA718x6x5h6pfsiTa&lt;/a&gt;
&lt;p&gt;Single cell lands tutorials: &lt;a href="https://omicsoftdocs.github.io/ArraySuiteDoc/tutorials/SingleCellLand/Gene_Views/"&gt;https://omicsoftdocs.github.io/ArraySuiteDoc/tutorials/SingleCellLand/Gene_Views/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Single cell RNA-sequencing (scRNA-seq) has been widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, development of targeted therapy (including immunotherapy) and more. Accordingly tremendous amount of scRNA-seq data has been deposited to public domains like GEO.&lt;/p&gt;
&lt;p&gt;In this training, attendees will learn how to&lt;/p&gt;
&lt;p&gt;· Locate public single cell studies of their interest using Omicsoft Single Cell Lands&lt;/p&gt;
&lt;p&gt;· Study different cell types by dimension reduction plots (example t-SNE, UMAP)&lt;/p&gt;
&lt;p&gt;· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)&lt;/p&gt;
&lt;p&gt;· Identify key pathways and regulators from scRNA-seq data using Ingenuity Pathway Analysis&lt;/p&gt;</video:description>
            <video:publication_date>2022-10-12T14:22:08+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6363</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>FAS Training</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/79260338/mitigating-variability-in-somatic</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=79260338</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/79260338/874a24491ed2d3a509c5eaea94c2966a/video_medium/mitigating-variability-in-somatic-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968567/79260338/874a24491ed2d3a509c5eaea94c2966a/small/mitigating-variability-in-somatic-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Mitigating Variability in Somatic Variant Interpretation: An Expert Panel</video:title>
            <video:description>Next-generation sequencing (NGS) oncology panels are becoming integral in hospital and academic settings to guide patient treatment and enrollment in clinical trials. But as NGS is increasingly used in precision oncology and an unprecedented amount of genomic information is uncovered, there is an industry-wide issue of standardization: a high degree of variability in variant interpretation currently exists across laboratories.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Inconsistencies in variant interpretation among laboratories can create confusion for clinicians and their patients, leaving them unable to confidently use genetic information to manage healthcare decisions. In this live panel discussion, experts in NGS testing and clinical informatics explore the issues surrounding the standardization of variant interpretation and consider how interpretation guidelines and clinical decision support (CDS) software can help to mitigate variability between laboratories.&lt;/p&gt;
&lt;p&gt;Topics of discussion include:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;Findings of a peer-reviewed study comparing the accuracy and consistency of variant assessments from commercial CDS software to the internal variant interpretation methods of eight laboratories.&lt;/li&gt;&lt;li&gt;
Causes of inter-laboratory inconsistency in variant interpretation and how to mitigate variability.&lt;/li&gt;&lt;li&gt;
The benefits of having an up-to-date, high-quality knowledge base to produce consistent, evidence-based clinical classifications.&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2022-10-04T18:20:05+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3756</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/79058773/data-curation-as-a-key-element-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=79058773</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/79058773/5a66f548855b7de1065cd97040cb3f11/video_medium/data-curation-as-a-key-element-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/79058773/5a66f548855b7de1065cd97040cb3f11/small/data-curation-as-a-key-element-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Data curation as a key element in successful data science strategy</video:title>
            <video:description>&lt;p&gt;Learn the 7 habits of effective manual curation that QIAGEN Digital Insights uses to drive and build its data content to advance data science applications in biopharma companies.&lt;br&gt;&lt;br&gt;Uses include:&lt;br&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;biomarker and target identification&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Disease networks&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Pathway construction&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;upstream and downstream relationships&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2022-09-30T23:12:31+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>974</video:duration>
            <video:category>Cancer Drug Discovery</video:category>
            <video:tag>bkb</video:tag>
            <video:tag>cancer_drug_discovery</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/78259300/checkpoint-inhibitors-investigation</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=78259300</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/78259300/be312b4bbb45424cca12507818fd0a66/video_medium/checkpoint-inhibitors-investigation-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/78259300/be312b4bbb45424cca12507818fd0a66/small/checkpoint-inhibitors-investigation-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Checkpoint inhibitors investigation in context of biomarkers, drug targets and pathways using Omicsoft and Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;div&gt;This training will focus on how QIAGEN Omicsoft Studio and IPA can be used to discover new biomarkers, validate (or study) drug targets and identify novel mechanisms of action with user and/or public checkpoint inhibitor datasets from resources like GEO, SRA, TCGA and more.&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;In this training, you will learn how to:&lt;br&gt;· Investigate the expression of a gene/biomarker/drug target across different treatments and diseases&lt;br&gt;· Derive a biomarker/gene signature from a specific condition (for example, non-responders of a drug, a specific disease/disease subtype and more)&lt;br&gt;· Correlate expression of multiple genes and biomarkers&lt;br&gt;· Compare different experimental groups (user and/or public data) at both gene expression and pathways/regulatory networks activity levels&lt;br&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2022-09-15T17:16:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5079</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>FAS Training</video:tag>
            <video:tag>ipa webinar</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/77954842/expanding-germline-and-somatic</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=77954842</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/77954842/0a20d51dc723760e70411313ea3cd5c2/video_medium/expanding-germline-and-somatic-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/77954842/0a20d51dc723760e70411313ea3cd5c2/small/expanding-germline-and-somatic-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Expanding Germline and Somatic Variant Knowledge and Interpretation</video:title>
            <video:description>In this 60-minute webinar, learn how the online resources of the Human Gene Mutation Database (HGMD) Professional and the Human Somatic Mutation Database (HSMD) can improve the quality, and decrease the time needed for variant classification and interpretation.
&lt;p&gt;Users will discover how to use both these expert-curated resources for the annotation and understanding of next-generation sequencing data in routine clinical and translational research.&lt;/p&gt;</video:description>
            <video:publication_date>2022-09-08T19:35:28+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3564</video:duration>
            <video:category>HGMD</video:category>
            <video:tag>hgmd</video:tag>
            <video:tag>hgmd tutorial</video:tag>
            <video:tag>highlighted</video:tag>
            <video:tag>hsmd</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/77585467/de-novo-assembly-blast-and-genome</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=77585467</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/77585467/392c6e140b7afc71efd462bfa5906877/video_medium/de-novo-assembly-blast-and-genome-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/77585467/392c6e140b7afc71efd462bfa5906877/small/de-novo-assembly-blast-and-genome-thumbnail.jpg</video:thumbnail_loc>
            <video:title>De novo assembly, BLAST and genome finishing using QIAGEN CLC Genomics Workbench</video:title>
            <video:description>This webinar will introduce users to the tools available for short reads (Illumina) as well as long reads (Oxford Nanopore, Pac Bio) de novo assembly in CLC Genomics Workbench. It will also go over other useful functionalities such as BLAST and genome finishing.&lt;/p&gt;
&lt;p&gt;Participants will learn the following:&lt;/p&gt;
&lt;p&gt;o Download and install needed plugins.&lt;/p&gt;
&lt;p&gt;o Import data required for the analysis.&lt;/p&gt;
&lt;p&gt;o Run the de novo assembly workflow.&lt;/p&gt;
&lt;p&gt;o For long reads, improve a de novo assembly by polishing with short, high-quality reads.&lt;/p&gt;
&lt;p&gt;o Map reads to a reference and visualize an assembly.&lt;/p&gt;
&lt;p&gt;o For long reads, correct raw long reads for further analysis.&lt;/p&gt;
&lt;p&gt;o Use BLAST to investigate the contigs.&lt;/p&gt;
&lt;p&gt;o Analyze and assemble contigs through Genome Finishing tools.</video:description>
            <video:publication_date>2022-09-01T15:38:15+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5490</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>FAS Training</video:tag>
            <video:tag>long reads</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/77509927/exploring-drug-response-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=77509927</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/77509927/35be54dca6ae5b84be7ad4207d22dab4/video_medium/exploring-drug-response-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/77509927/35be54dca6ae5b84be7ad4207d22dab4/small/exploring-drug-response-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Exploring drug response in low-grade glioma</video:title>
            <video:description>&lt;p&gt;This webinar introduces the Tumor Microenvironment (TME) Pathway in QIAGEN’s Ingenuity Pathway Analysis (IPA), demonstrating how users can explore immune and tumor interactions by constructing networks around targets like IL1B and predicting downstream effects on functions such as tumor proliferation. Using tools like Molecule Activity Predictor and Path Explorer, we show how curated literature-derived relationships can model cytokine activity and TME behavior. Additional features like BioProfiler, Land Explorer, and Activity Plot allow users to analyze public datasets (e.g., TCGA) for expression trends and regulatory roles, with use cases including PD-1–positive and –negative CD8+ T cells in lung cancer. IPA’s upstream regulator analysis further enabled prediction of key drivers influencing immune and tumor cell dynamics.&lt;/p&gt;</video:description>
            <video:publication_date>2022-08-31T02:41:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1283</video:duration>
            <video:category>Cancer Drug Discovery</video:category>
            <video:tag>cancer_drug_discovery</video:tag>
            <video:tag>FAS Training</video:tag>
            <video:tag>ipa webinar</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/77279632/somatic-variants-investigation-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=77279632</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/77279632/c896955142314d80ab1e0ce530292dbc/video_medium/somatic-variants-investigation-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/77279632/c896955142314d80ab1e0ce530292dbc/small/somatic-variants-investigation-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Somatic variants investigation in critical regulatory pathways</video:title>
            <video:description>This training will focus on using QIAGEN Ingenuity Pathway analysis (IPA) and Human Somatic Mutation Database (HSMD) to identify key somatic variants associated with regulatory genes in ‘omic data and study the genomic characteristics of both target and disease to better understand the clinical relevance. Identifying and studying the genomic characteristics of drug targets and important genes are of great interest to many researchers as it can offer new insights into improving drug discovery and precision medicine. In this 90-minute training, the Human Somatic Mutation Database (HSMD) will be introduced for genomic investigation. HSMD is a web-based database containing data for hundreds of thousands of variants within the context of solid tumors and hematological malignancies. Specifically, HSMD provides gene-level, alteration-level, and disease-level information including clinically observed gene and variant frequencies across cancer types.
&lt;p&gt;Attendees will learn how to:&lt;/p&gt;
&lt;p&gt;· Use IPA to identify key regulators within a dataset of interest&lt;/p&gt;
&lt;p&gt;· Use HSMD to investigate variants for target genes and cancer type of interest&lt;/p&gt;
&lt;p&gt;· Synthesize key findings from drug labels, clinical trials, and PubMed articles for specific alterations and cancer types&lt;/p&gt;&lt;p&gt;Click here to learn more about &lt;a href="https://digitalinsights.qiagen.com/hsmd/?cmpid=tvsite_webinar_77279632_0822"&gt;HSMD&lt;/a&gt; and &lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=tvsite_webinar_77279632_0822"&gt;IPA&lt;/a&gt;.&lt;/p&gt;</video:description>
            <video:publication_date>2022-08-25T15:10:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5199</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>FAS Training</video:tag>
            <video:tag>hsmd</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/76622109/knowledge-graphs-and-more</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=76622109</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/76622109/ffe552ec2bb477cd888d7fcaa8d52628/video_medium/knowledge-graphs-and-more-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/76622109/ffe552ec2bb477cd888d7fcaa8d52628/small/knowledge-graphs-and-more-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Knowledge graphs and more: Analytics-driven drug discovery using advanced biomedical relationships knowledge</video:title>
            <video:description>High-quality biomedical relationships knowledge is the cornerstone of modern and innovative data- and analytics-driven drug discovery. Yet this knowledge is locked in thousands of publications and dozens of databases. This webinar will show you how to unlock this knowledge and use it to strengthen your efforts in data science-driven drug discovery.
&lt;p&gt;In this webinar, you'll learn about:&lt;/p&gt;
&lt;p&gt;High-quality biomedical relationships knowledge: What it is and how to access it&lt;br&gt;
Knowledge graphs and knowledge graph analysis&lt;br&gt;
Artificial intelligence (AI)-driven target identification and drug repositioning using knowledge graphs and biomedical relationships&lt;br&gt;
Disease subtyping and biomarker identification based on functional features&lt;br&gt;
Target, disease and drug intelligence portals: Application development and data integration leveraging biomedical relationships&lt;/p&gt;
&lt;p&gt;Don't miss this opportunity to discover how to give your drug discovery programs a data science-driven advantage by leveraging high-quality biomedical relationships knowledge.&lt;/p&gt;</video:description>
            <video:publication_date>2022-07-19T15:03:12+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2437</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>highlighted</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/76621840/drug-repurposing-from-large-scale</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=76621840</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/76621840/c3c5ff4084300ec577a5187fe084c875/video_medium/drug-repurposing-from-large-scale-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/76621840/c3c5ff4084300ec577a5187fe084c875/small/drug-repurposing-from-large-scale-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Drug repurposing: from large-scale biological data to therapeutics</video:title>
            <video:description>One of the challenges we are facing today is the high cost and slow pace of drug development for many disease areas such as cancer, CNS, rare diseases etc. Repurposing drugs for new indications will have a shorter developmental time, lower cost, and less safety risk than the traditional drug development process.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Join us for this 60-minute Webinar on Drug repurposing: from large-scale biological data to therapeutics. This one-hour event will show how our platform enables biologists to leverage transcriptomics and literature-curated biological data for in-silico drug repositioning and repurposing.&lt;/p&gt;
&lt;p&gt;Through a series of short demonstrations, we will explore:&lt;br&gt;
• A systems biology approach to discover new uses of existing FDA-approved drugs&lt;br&gt;
• Accelerate drug discovery process and generate novel hypotheses from high-quality omics and literature curated data&lt;br&gt;
• Estimate network of genes potentially perturbed by drugs and integrate it with drug and disease gene expression signatures&lt;br&gt;
• Study how targets of interest are expressed across different diseases and tissues&lt;/p&gt;
&lt;p&gt;Our system uses millions of curated literature findings in the QIAGEN/ IPA knowledgebase and the OmicSoft digital warehouse. The presentation is intended for both those familiar with Ingenuity Pathway and newcomers interested in learning more.&lt;/p&gt;</video:description>
            <video:publication_date>2022-07-19T14:31:47+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3808</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>FAS Training</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/76557552/50-to-500-genes-scale-up-to</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=76557552</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/76557552/4c319c667308927684337d5e037262ef/video_medium/50-to-500-genes-scale-up-to-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/76557552/4c319c667308927684337d5e037262ef/small/50-to-500-genes-scale-up-to-thumbnail.jpg</video:thumbnail_loc>
            <video:title>50 to 500 genes: Scale-up to comprehensive genomic profiling</video:title>
            <video:description>In this webinar, we present a workflow-agnostic, informatics software solution that enables clinical diagnostic labs to scale to CGP while reducing cost, time, and labor. Already used and trusted to interpret over 3 million patient cases worldwide, this software solution leverages the world’s largest and fastest-growing knowledge base to simplify and accelerate variant interpretation and build custom, patient-specific reports with the latest diagnostic and prognostic information, as well as biomarker-directed therapies and clinical trials.
&lt;p&gt;In this webinar, you will:&lt;/p&gt;
&lt;p&gt;Learn how to overcome unique challenges of CGP, including identifying incidental germline findings and interpreting co-occurring variants.&lt;br&gt;
See why 90,000 users trust QIAGEN Digital Insights for knowledge curation—how we have built the most trusted, fastest growing knowledge base and why our curation process is unrivalled in the industry.&lt;br&gt;
Receive step-by-step guide of how to perform CGP and go from VCF to final report with greater speed, precision, and confidence (all registrants can receive custom report if VCF files are provided).&lt;br&gt;
Qualify for a complimentary demonstration and trial of this industry-leading software to see how your lab can scale to CGP while reducing costs, time, and labor.&lt;/p&gt;</video:description>
            <video:publication_date>2022-07-13T08:28:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3495</video:duration>
            <video:category>QCI Interpret for Oncology</video:category>
            <video:tag>highlighted</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/76302975/break-the-data-bottleneck-summit</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=76302975</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/76302975/d6ed11cf18ac5e43da7695488466f0fd/video_medium/break-the-data-bottleneck-summit-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/76302975/d6ed11cf18ac5e43da7695488466f0fd/small/break-the-data-bottleneck-summit-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Break the data bottleneck summit: Precision Oncology Expert Panel in Americas</video:title>
            <video:description>Lower the Barrier to Adopt Large Cancer Genomic Profiling in Diagnostic Labs: Break the Data Bottleneck Summit&lt;p&gt;&lt;/p&gt;
&lt;p&gt;At the Break the Data Bottleneck Summit, our experts will demonstrate how small to mid-sized clinical diagnostic labs can compete to offer comprehensive genomic profiling services for precision oncology with the same speed, expertise, and confidence of large hospital networks and university centers.&lt;/p&gt;
&lt;p&gt;The Break the Data Bottleneck Summit is your opportunity to:&lt;/p&gt;
&lt;p&gt;Learn how to accelerate your bioinformatics pipeline from FASTQ to report&lt;br&gt;
Gain valuable insights into variant curation and the importance of evidence&lt;br&gt;
Find out how your lab can stay up-to-date on guidelines, therapies, and trials and generate comprehensive, patient-specific reports&lt;/p&gt;</video:description>
            <video:publication_date>2022-06-27T19:41:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4420</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>clinical oncology summit</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/76278349/virtual-roundtable-data-curation</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=76278349</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/76278349/32d1bfd9329169661efb0ec702f313e3/video_medium/virtual-roundtable-data-curation-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/76278349/32d1bfd9329169661efb0ec702f313e3/small/virtual-roundtable-data-curation-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Virtual Roundtable: Data Curation and AI/Machine Learning in Drug Discovery Informatics Workflows</video:title>
            <video:description>Pharmaceutical companies and researchers are increasingly turning to artificial intelligence and machine learning to turbocharge and laser-focus their processes on potential drug targets for development. But this technology is only as good as the data that trains the computing algorithms, so data curation is imperative. In this Virtual Roundtable, we will look at what bioinformatics tools and expertise researchers will need for their drug discovery pipelines. We will take a specific look at approaches in data curation, including how bioinformaticians are collecting, harmonizing, curating, and analyzing disparate datasets.&lt;/p&gt;
&lt;p&gt;Join us as we hear from four leading experts on the use of AI and machine learning for data curation to support drug discovery informatics workflows. Our panelists will discuss their own work, the methods they have used, and the new possibilities available to researchers in their fields. At the end, we'll have a live question and answer session featuring submissions from our audience.</video:description>
            <video:publication_date>2022-06-24T14:25:29+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3570</video:duration>
            <video:category>Discovery and Research User Group Meetings +</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/76259457/break-the-data-bottleneck-summit-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=76259457</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/76259457/a757701bd20ca4919a91ed9696dc1043/video_medium/break-the-data-bottleneck-summit-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/76259457/a757701bd20ca4919a91ed9696dc1043/small/break-the-data-bottleneck-summit-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Break the data bottleneck summit: Precision Oncology Expert Panel in Europe</video:title>
            <video:description>Lower the Barrier to Adopt Large Cancer Genomic Profiling in Diagnostic Labs: Break the Data Bottleneck Summit
&lt;p&gt;At the Break the Data Bottleneck Summit, our experts will demonstrate how small to mid-sized clinical diagnostic labs can compete to offer comprehensive genomic profiling services for precision oncology with the same speed, expertise, and confidence of large hospital networks and university centers.&lt;/p&gt;
&lt;p&gt;The Break the Data Bottleneck Summit is your opportunity to:&lt;/p&gt;
&lt;p&gt;Learn how to accelerate your bioinformatics pipeline from FASTQ to report&lt;br&gt;
Gain valuable insights into variant curation and the importance of evidence&lt;br&gt;
Find out how your lab can stay up-to-date on guidelines, therapies, and trials and generate comprehensive, patient-specific reports&lt;/p&gt;</video:description>
            <video:publication_date>2022-06-23T11:04:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4652</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>clinical oncology summit</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/76084067/new-user-training-qiagen-ingenuity</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=76084067</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/76084067/834a880df60b1197f65ed66745b2c801/video_medium/new-user-training-qiagen-ingenuity-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/76084067/834a880df60b1197f65ed66745b2c801/small/new-user-training-qiagen-ingenuity-thumbnail.jpg</video:thumbnail_loc>
            <video:title>New user training: QIAGEN Ingenuity Pathway Analysis (IPA)</video:title>
            <video:description>New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)&lt;br&gt;&lt;br&gt;Users will learn how to:&lt;br&gt;
• Upload their dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA&lt;br&gt;
• Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)&lt;br&gt;
• Compare different experimental conditions (treatments, timepoints, single-cell clusters, disease types and more) and identify similarities and contrasts&lt;br&gt;
• Generate a network even without a dataset or experimental design for hypothesis generation</video:description>
            <video:publication_date>2022-06-08T07:14:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>7050</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>FAS Training</video:tag>
            <video:tag>ingenuity pathway analysis</video:tag>
            <video:tag>ipa tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/76012742/inflammatory-bowel-disease-drug</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=76012742</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/76012742/bc3e324a126a2410de9bd1881563777b/video_medium/inflammatory-bowel-disease-drug-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/76012742/bc3e324a126a2410de9bd1881563777b/small/inflammatory-bowel-disease-drug-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Inflammatory Bowel Disease: Drug Target and Biomarker Investigation using QIAGEN OmicSoft</video:title>
            <video:description>In this 90-minute training using Inflammatory Bowel Disease (IBD) public data from NCBI GEO through Omicsoft DiseaseLand, attendees will learn how to:&lt;br&gt;
• Rapidly query and identify public datasets that fit our search criteria&lt;br&gt;
• Discover and validate biomarker expression in disease tissue, different treatments, and response groups&lt;br&gt;
• Identify a list of biomarkers specific to responders vs non-responders&lt;br&gt;
• Confirm condition-specific biomarkers through gene expression heatmaps&lt;br&gt;
• Opportunity for live Q&amp;amp;A</video:description>
            <video:publication_date>2022-06-01T06:32:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5674</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/75959093/lower-the-barrier-to-adopt-larger</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=75959093</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/75959093/e9d036feea3b8a2cf3c688f47ee70cf4/video_medium/lower-the-barrier-to-adopt-larger-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/75959093/e9d036feea3b8a2cf3c688f47ee70cf4/small/lower-the-barrier-to-adopt-larger-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Lower the barrier to adopt larger CGP in Dx labs:  QIAGEN Expert Talks in US</video:title>
            <video:description>&lt;p&gt;&lt;span&gt;A two-part event, the Break the Data Bottleneck Summit will explore how small to mid-sized clinical diagnostic labs can compete to offer comprehensive genomic profiling services for precision oncology with the same speed and confidence of large hospital networks and university centers. &amp;nbsp;&amp;nbsp;&lt;br&gt;&amp;nbsp;&lt;br&gt;Featured topics at the event include:&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Expert tips to improve the accuracy and efficiency of your molecular tumor boards&lt;/li&gt;&lt;li&gt;How to accelerate your bioinformatics pipeline from FASTQ to report&lt;/li&gt;&lt;li&gt;How your lab can stay up-to-date on guidelines, therapies, and clinical trials&amp;nbsp;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;Part 1: May 19, 2022 (Americas and Europe)&lt;/p&gt;&lt;ul&gt;&lt;li&gt;QIAGEN Expert Talks&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;Part 2: June 16, 2022 (Americas) and June 21, 2022 (Europe)&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Customer Insights&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2022-05-27T16:29:25+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6100</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>clinical</video:tag>
            <video:tag>Clinical Oncology Summit</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/75959081/lower-the-barrier-to-adopt-larger-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=75959081</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/75959081/aad35b58bb45fc034ba11f2196a1c891/video_medium/lower-the-barrier-to-adopt-larger-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/75959081/aad35b58bb45fc034ba11f2196a1c891/small/lower-the-barrier-to-adopt-larger-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Lower the barrier to adopt larger CGP in Dx labs:  QIAGEN Expert Talks in Europe</video:title>
            <video:description>&lt;p&gt;&lt;span&gt;A two-part event, the Break the Data Bottleneck Summit will explore how small to mid-sized clinical diagnostic labs can compete to offer comprehensive genomic profiling services for precision oncology with the same speed and confidence of large hospital networks and university centers. &amp;nbsp;&amp;nbsp;&lt;br&gt;&amp;nbsp;&lt;br&gt;Featured topics at the event include:&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Expert tips to improve the accuracy and efficiency of your molecular tumor boards&lt;/li&gt;&lt;li&gt;How to accelerate your bioinformatics pipeline from FASTQ to report&lt;/li&gt;&lt;li&gt;How your lab can stay up-to-date on guidelines, therapies, and clinical trials&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;Part 1: May 19, 2022 (Americas and Europe)&lt;/p&gt;&lt;ul&gt;&lt;li&gt;QIAGEN Expert Talks&lt;/li&gt;&lt;/ul&gt;</video:description>
            <video:publication_date>2022-05-27T16:28:53+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>6645</video:duration>
            <video:category>Clinical Summits</video:category>
            <video:tag>Clinical Oncology Summit</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/75886345/extracting-novel-hypotheses-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=75886345</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/75886345/e7c1206c806561b55b3642d7846bbff2/video_medium/extracting-novel-hypotheses-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/75886345/e7c1206c806561b55b3642d7846bbff2/small/extracting-novel-hypotheses-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Extracting novel hypotheses and insights from single cell data</video:title>
            <video:description>Follow us on a journey of single cell data exploration.  See how you can Process, Analyze, Compare, and Contextualize, your results to identify novel biological relationships and drive new hypotheses. In this presentation, Dr. Jean-Noel Billaud, PhD, will take you from data to biological insight using human single cell fetal liver data.&lt;/p&gt;
&lt;p&gt;Participants will learn:&lt;br /&gt;
•	Process: Which tools and workflows are best suited to process scRNA-seq data&lt;br /&gt;
•	Analyze: How to analyze, highlight and identify cell types of interest&lt;br /&gt;
•	Compare: How you can effortlessly compare and discover similar biology phenomena&lt;br /&gt;
•	Contextualize: Provide context from other tissues and diseases to unlock hidden biology&lt;/p&gt;
&lt;p&gt;Speaker:&lt;/p&gt;
&lt;p&gt;Jean-Noel Billaud, PhD&lt;/p&gt;
&lt;p&gt;Dr. Jean-Noel Billaud.  Jean-Noël is a Senior Principal Scientist at QIAGEN Digital Insights. Before joining QIAGEN, he was part of Ingenuity Systems since 2008 as a staff scientist. Dr, Billaud holds a Ph.D. in Blood Cell Biology from Paris and did his post-doctoral work at the Scripps Research Institute (San Diego, CA). He previously worked at the Vaccine Research Institute of San Diego and co-developed a universal vaccine platform to target infectious disease, metabolic diseases, and cancer.</video:description>
            <video:publication_date>2022-05-20T15:20:27+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2551</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>feature</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/75785369/target-discovery-through-qiagen-ipa</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=75785369</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/75785369/ddbf3e154030a6c65b5810c25584fa44/video_medium/target-discovery-through-qiagen-ipa-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/75785369/ddbf3e154030a6c65b5810c25584fa44/small/target-discovery-through-qiagen-ipa-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Target discovery through QIAGEN IPA and HSMD</video:title>
            <video:description>Identifying and studying the genomic characteristics of drug targets and important genes are of great interest to many researchers as it can offer new insights into improving drug discovery and precision medicine. In this 90-minute training, QIAGEN Human Somatic Mutation Database (HSMD) will be introduced for genomic investigation. HSMD is a web-based database containing data for hundreds of thousands of variants within the context of solid tumors and hematological malignancies. Specifically, HSMD provides gene-level, alteration-level, and disease-level information including clinically observed gene and variant frequencies across diseases. Accordingly, this webinar will focus on using QIAGEN Ingenuity Pathway analysis (IPA) and HSMD to identify key regulators in ‘omic data and study the genomic characteristics and landscape of both target and disease.
&lt;p&gt;Attendees will learn how to:&lt;br&gt;
• Use IPA to identify key regulators within a dataset of interest&lt;br&gt;
• Use HSMD to investigate variants for target genes and diseases of interest&lt;br&gt;
• Synthesize key findings from drug labels, clinical trials, and PubMed articles for specific alterations and diseases&lt;/p&gt;</video:description>
            <video:publication_date>2022-05-13T15:16:22+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4273</video:duration>
            <video:category>HSMD</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>hsmd</video:tag>
            <video:tag>ipa</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/75726973/rna-seq-and-single-cell-rna-seq-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=75726973</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/75726973/cbe95e9d1ce5b2f4a0c62665c07dad11/video_medium/rna-seq-and-single-cell-rna-seq-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/75726973/cbe95e9d1ce5b2f4a0c62665c07dad11/small/rna-seq-and-single-cell-rna-seq-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>RNA-seq and single-cell RNA-seq data analysis</video:title>
            <video:description>In this 90-minute training, users will learn how to easily analyze RNA-seq and single-cell RNA-seq (scRNA-seq) data using QIAGEN CLC Genomics Workbench software.&lt;/p&gt;
&lt;p&gt;For RNA-seq and scRNA-seq data, users will learn how to:&lt;br /&gt;
• Import fastq files, cell matrix files and metadata and how to download references&lt;br /&gt;
• Map reads to a reference genome and generate gene and transcript counts and QC reports displaying % mapped reads, knee plots, etc.&lt;br /&gt;
• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, t-SNE plots, UMAP plots, dot plots, Venn diagrams and others&lt;br /&gt;
• Annotate single-cell clusters overlain with gene expression&lt;br /&gt;
• Easily customize RNA-seq and scRNA-seq workflows&lt;br /&gt;
• Export publication-quality graphics, tables and reports&lt;br /&gt;
• Send differential expression table to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench</video:description>
            <video:publication_date>2022-05-09T16:24:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5561</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>FAS Training</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/75570217/single-cell-atac-sequence-analysis</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=75570217</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/75570217/f552b668d6bb1e2616a49efd5dd6d0b4/video_medium/single-cell-atac-sequence-analysis-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/75570217/f552b668d6bb1e2616a49efd5dd6d0b4/small/single-cell-atac-sequence-analysis-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single Cell ATAC sequence analysis</video:title>
            <video:description>scATAC-seq (Single-Cell Assay for Transposase-Accessible Chromatin using sequencing) is a technique used in molecular biology to assess chromatin accessibility. Now with QIAGEN CLC Genomics Workbench Premium, we put the power of this growing technology at your fingertips.
&lt;p&gt;In this webinar training, our QIAGEN Field Application Scientist will walk you through a typical scATAC-seq workflow. Topics covered will include:&lt;br&gt;
• Read QC and deduplication&lt;br&gt;
• Peak calling&lt;br&gt;
• Finding nearby genes and transcription factor (TF) motif scans&lt;br&gt;
• Automatically prediction of cell types and cluster&lt;br&gt;
• Comprehensive QC report&lt;br&gt;
• Various other visualization, such as UMAP plot, Dot plots, heat map, and Violin Plots&lt;/p&gt;</video:description>
            <video:publication_date>2022-04-25T15:56:16+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5199</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/75002110/identifying-antimicrobial</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=75002110</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/75002110/c844027d50e12974c906a04abd9266a1/video_medium/identifying-antimicrobial-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/75002110/c844027d50e12974c906a04abd9266a1/small/identifying-antimicrobial-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Identifying antimicrobial resistance from Sample to Insight</video:title>
            <video:description>Antimicrobial resistance (AMR) detection and surveillance is a high priority in healthcare and environmental settings for the safety of both patients and the general public. However, working with samples used for this type of monitoring, such as stool or wastewater, can be challenging, from the sample preparation to the sequencing to the bioinformatics.
&lt;p&gt;In this 60-minute online summit, we will take you through a series of biological samples, including stool, wastewater and others. We'll demonstrate the workflows and characteristics of each, together with the answers and insights you can expect. There will also be a live Q&amp;amp;A session, giving you a chance to discuss your questions and use cases with our experts.&lt;/p&gt;
&lt;p&gt;At this online virtual AMR summit, you will learn about:&lt;/p&gt;
&lt;p&gt;Our kits for nucleic acid extraction from various sample types such as stool, sludge and wastewater&lt;br&gt;
The importance of inhibitor removal during sample preparation&lt;br&gt;
Sequencing workflows for AMR&lt;br&gt;
Benefits of using hybrid capture versus shotgun sequencing&lt;br&gt;
How to generate ShortBRED AMR marker abundance tables&lt;br&gt;
How to associate and compare different metadata, such as sample type (stool, wastewater, etc.)&lt;br&gt;
AMR alpha and beta diversity across sample types and how to determine the depth of coverage&lt;/p&gt;</video:description>
            <video:publication_date>2022-04-07T18:04:41+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3557</video:duration>
            <video:category>Discovery and Research User Group Meetings +</video:category>
            <video:tag>FAS Training</video:tag>
            <video:tag>microbial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/74821786/precisely-target-the-causes-of</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=74821786</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968579/74821786/8cf8a7a40165a50a163ac6fa4defedd8/video_medium/precisely-target-the-causes-of-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968579/74821786/8cf8a7a40165a50a163ac6fa4defedd8/small/precisely-target-the-causes-of-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Precisely target the causes of malignancy on a molecular level</video:title>
            <video:description>&lt;p&gt;Key to precision oncology is the development of expert databases that organize and standardize information on cancer-related genetic variants, as well as their associated diagnostic, prognostic, and therapeutic implications, in a way that is easily accessible to multiple users. COSMIC, the Catalogue of Somatic Mutations in Cancer, was established nearly 20 years ago, and has been a gold-standard resource for this data ever since. Today, COSMIC is used on a daily basis in research labs, cancer centers, biotech, and pharmaceutical companies, where it comes into play as one of the key, trusted sources to analyze genomic data.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;In this webinar, Dr. Zbyslaw Sondka, COSMIC's Senior Scientist, and Rebecca White, COSMIC's Scientific Communications Manager, will walk you through 3 key-aspects of the industry leading somatic mutation database.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;At the conclusion of this webinar, participants will be able to:&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;· Apply the breadth and depth of COSMIC's high-quality somatic mutation data to identify proteins, biological processes, and pathways driving disease, which can be used to design new therapeutic approaches that precisely target causes of the malignancy on a molecular level.&lt;/p&gt;&lt;p&gt;· Use tools and resources within COSMIC to bring actionable meaning to genomic data, such as the identification of driver mutations, functional biological consequences, and clinically significant somatic variants, which can aid diagnostics and treatment decisions.&lt;/p&gt;&lt;p&gt;· Explain how COSMIC's expert curation process enables the accumulation and integration of data on rare cancers (over 1500 unique cancer types have been recorded to date), and how this data could enable the development of cross-cutting solutions based on molecular behaviors and genetic similarities between cancers rather than their origin-location.&lt;/p&gt;</video:description>
            <video:publication_date>2022-03-28T17:24:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3143</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>cosmic</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/74718508/long-read-sequencing-analysis-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=74718508</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/74718508/774fa2c025f181f102bfc872e909ccc4/video_medium/long-read-sequencing-analysis-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/74718508/774fa2c025f181f102bfc872e909ccc4/small/long-read-sequencing-analysis-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Long-read sequencing analysis in the QIAGEN CLC Genomics Workbench</video:title>
            <video:description>This tutorial is an introduction to working with the tools in the Long Read Support (beta) plugin. The Long Read Support (beta) plugin is a collection of tools developed for working with long, error-prone reads such as those produced by the single-molecule sequencing technologies of Pacific Biosciences or Oxford Nanopore Technologies.
&lt;p&gt;Participants will take away how to:&lt;/p&gt;
&lt;p&gt;• Download Plugin for Long read support&lt;br&gt;
• Import data required for the analysis&lt;br&gt;
• De novo assembly of a microbial sized genome using long, error-prone reads&lt;br&gt;
• Improve a de novo assembly from long reads by polishing with short, high-quality reads&lt;br&gt;
• Map long reads to a reference and visualizing an assembly&lt;br&gt;
• Correct raw long reads for further analysis&lt;/p&gt;</video:description>
            <video:publication_date>2022-03-21T15:07:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3723</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc genomics workbench tutorial</video:tag>
            <video:tag>FAS Training</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>long reads</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/74369930/human-certified-omics-data-to-power</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=74369930</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/74369930/6c1f36151fe7af762639a98bf11fbce5/video_medium/human-certified-omics-data-to-power-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/74369930/6c1f36151fe7af762639a98bf11fbce5/small/human-certified-omics-data-to-power-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Human-certified ‘omics data to power drug discovery</video:title>
            <video:description>Integrating external and internal ‘omics data is a key element of hypothesis generation, target identification, and biomarker prioritization when it comes to drug discovery. It is never as straightforward as it seems and usually costs more, takes more time than anticipated, often with poor results.  In this talk, Joseph Pearson, PhD, from QIAGEN Digital Insights will discuss approaches and resources to overcome these obstacles and improve outcomes.
&lt;p&gt;Participants will learn:&lt;br&gt;
•	Where automated curation approaches can leave you short&lt;br&gt;
•	Why data scientists spend most of their time not doing data science&lt;br&gt;
•	Where bioinformaticians and data scientist spend most of their time&lt;br&gt;
•	What is required of high-quality ‘omics data&lt;br&gt;
•	Example of high-quality TCGA data&lt;br&gt;
•	How to extend these practices to internal data structures&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;To learn more visit:&amp;nbsp;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/qiagen-omicsoft"&gt;https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/qiagen-omicsoft&lt;/a&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2022-02-24T16:50:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1165</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>Webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/74187696/identify-meaningful-mutations-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=74187696</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/74187696/560489baf8370c352b15b3807ae7afd9/video_medium/identify-meaningful-mutations-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/74187696/560489baf8370c352b15b3807ae7afd9/small/identify-meaningful-mutations-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Identify meaningful mutations in somatic tumor testing</video:title>
            <video:description>From Information Overload to Actionable Insights
&lt;p&gt;Precision medicine is transforming cancer care, with next-generation sequencing (NGS) enabling the simultaneous analysis of multiple genomic alterations with therapeutic implications. However, due to the sporadic nature of somatic cancers and the increasing uptake of NGS testing, the number of detected variants is exponentially growing, challenging labs to confidently identify meaningful mutations that could influence or improve decisions at the point of care. Approximately 50 percent of the oncologists in the United States find NGS results sometimes or often difficult to interpret, while 31 percent of small to medium-sized labs in Europe view a lack of knowledge and exposure to routine analyses and interpretation as the most critical bottleneck in NGS testing [1-2].&lt;/p&gt;
&lt;p&gt;In this webinar, Ana Krivokuca will present a real-world use case of how the Institute for Oncology and Radiology of Serbia (IORS), a national cancer research center that provides routine NGS testing for cancer patients, uses the Human Somatic Mutation Database (HSMD) in their NGS testing pipeline to validate, assess, and better understand the clinical significance of detected variants.&lt;/p&gt;
&lt;p&gt;A new somatic database from QIAGEN, HSMD combines two decades of expert-curated content with data from over 300,000 real-world clinical oncology cases to provide deep genomic insight into the molecular characterizations of a patient’s tumor. Easy to search with new content added weekly, HSMD enables users to explore key genes or mutations with driving properties or clinical relevance, search for associated treatment options, evaluate secondary findings, and develop customized gene panels.&lt;/p&gt;
&lt;p&gt;Attendees will:&lt;/p&gt;
&lt;p&gt;Learn how IORS uses HSMD to identify actionable variants, analyze complex reports,  evaluate secondary findings, and design custom gene panels.&lt;br&gt;
Explore HSMD content and features through a virtual demonstration.&lt;br&gt;
Receive a complimentary, five-day trial of HSMD.&lt;/p&gt;
&lt;p&gt;Speaker:&lt;br&gt;
Ana Krivokuca, PhD&lt;br&gt;
Head of Department for Genetic Counseling&lt;br&gt;
Institute for Oncology and Radiology of Serbia&lt;/p&gt;</video:description>
            <video:publication_date>2022-02-14T14:47:56+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3671</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>clinical</video:tag>
            <video:tag>hsmd</video:tag>
            <video:tag>ngs data</video:tag>
            <video:tag>oncology</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/74008636/drug-target-and-biomarker</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=74008636</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968575/74008636/26aa9582622351ce05d9ca5b85c74b26/video_medium/drug-target-and-biomarker-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968575/74008636/26aa9582622351ce05d9ca5b85c74b26/small/drug-target-and-biomarker-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Drug Target and Biomarker Investigation using OmicSoft OncoLand</video:title>
            <video:description>In this 90-minute training, attendees will learn how to use basic expression analysis functionalities in QIAGEN OmicSoft OncoLand. QIAGEN OmicSoft Single Cell Land will also be discussed, focusing on public single-cell data.
&lt;p&gt;Key focus will be on Biomarker discovery with QIAGEN OmicSoft OncoLand leveraging public oncology data from GEO, TCGA and other collections to:&lt;/p&gt;
&lt;p&gt;• Discover and validate biomarker expression in diseases, disease subtypes, treatments, cell types, etc.&lt;br&gt;
• Identify a list of biomarkers specifically expressed in disease, treatment group, cell type or other condition of interest&lt;br&gt;
• Overlay expression of a gene on cell clusters of interest from public single-cell data&lt;/p&gt;
&lt;p&gt;This training is designed for biologists, bioinformaticians, and data scientists.&lt;/p&gt;</video:description>
            <video:publication_date>2022-02-01T08:09:51+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4424</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>oncoland</video:tag>
            <video:tag>oncology</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/73959697/qiagen-ipa-13</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=73959697</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/73959697/195e8fd95476077d333df1ec58e7ec18/video_medium/qiagen-ipa-13-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/73959697/195e8fd95476077d333df1ec58e7ec18/small/qiagen-ipa-13-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA チュートリアル13 プロジェクト検索</video:title>
            <video:description>IPAが保持している多くのコアー解析の結果について、個々の実験に記載されている注釈情報（メタデータ）をキーワードで検索し、興味のある実験の解析結果を閲覧することができます。</video:description>
            <video:publication_date>2022-01-28T04:54:31+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>373</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/72567132/variant-calling-to-biological</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=72567132</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/72567132/3358a3e7a341f7ea5ce094fcba6bac80/video_medium/variant-calling-to-biological-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/72567132/3358a3e7a341f7ea5ce094fcba6bac80/small/variant-calling-to-biological-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Variant Calling to Biological Insights – A Lynch Syndrome Case Study</video:title>
            <video:description>In this webinar, we present a case study on Lynch syndrome (LS), a hereditary condition characterized by a high risk of colorectal cancer, endometrial cancer, and other neoplasia that typically manifests in the context of germline variants in DNA mismatched genes.&lt;br&gt;
To study whether other germline pathogenic variants of hereditary cancer genes are present in patients previously diagnosed with LS, the researchers analyzed a comprehensive panel of cancer-predisposing genes by NGS among 84 LS probands.
&lt;p&gt;With this study as an example, we will illustrate how you can use your own data and public data to conduct translational research using 3 software solutions from QIAGEN.&lt;/p&gt;
&lt;p&gt;This webinar will focus on the following elements:&lt;/p&gt;
&lt;p&gt;Data analysis – How you can efficiently retrieve and process FASTQ data with accurate variant interpretation using CLC Genomics Workbench&lt;br&gt;
Interpretation – How you can take a set of variants and rapidly assess sample variants for disease relevance and pathogenicity using QCI Interpret Translational&lt;br&gt;
Discovery – How you can combine results and contextualize variant biomarkers with other public datasets using QIAGEN Ingenuity Pathway Analysis (IPA)&lt;/p&gt;
&lt;p&gt;Speaker:&lt;/p&gt;
&lt;p&gt;Eric Seiser, PhD&lt;br&gt;
Senior Field Applications Scientist&lt;br&gt;
QIAGEN Digital Insights&lt;/p&gt;</video:description>
            <video:publication_date>2021-12-09T07:16:52+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3498</video:duration>
            <video:category>QCI I Translational</video:category>
            <video:tag>clinical</video:tag>
            <video:tag>qci interpret translational</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/72567126/get-expert-variant-classification</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=72567126</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968571/72567126/bcdd05bddbfa47dd5bd3f8db48245d43/video_medium/get-expert-variant-classification-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968571/72567126/bcdd05bddbfa47dd5bd3f8db48245d43/small/get-expert-variant-classification-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Get expert variant classification services tailored to your onco-panel</video:title>
            <video:description>As next-generation DNA sequencing technology continues to evolve and become further integrated into routine clinical testing, the need for efficient and accurate clinical interpretation of oncology diagnostic tests becomes even more pressing—especially among community hospital labs.
&lt;p&gt;Standard sequencing panels are growing, drugs are covering more targets and pathways, and the expansion of the scientific and clinical literature has become exponential, presenting a significant challenge to laboratory directors and clinicians who need to understand the implications of the test results. Further, the implications of mutations can be applicable across many cancer types, but often are different based on the specific cancer type.&lt;/p&gt;
&lt;p&gt;In this webinar, we will discuss how community hospital labs can perform comprehensive genomic profiling faster and with greater accuracy and confidence using QIAGEN’s professional clinical interpretation services: QCI Precision Insights.&lt;/p&gt;
&lt;p&gt;Attendees will learn:&lt;/p&gt;
&lt;p&gt;About the world-class team of molecular biologists and oncologists that power QCI Precision Insights&lt;br&gt;
How community hospital labs can get up-to-date and detailed disease-specific clinical insights and therapeutic options for each patient within minutes&lt;br&gt;
About use-cases and examples of clinical annotation in different diseases of varying specificity&lt;/p&gt;
&lt;p&gt;Speakers&lt;br&gt;
Sheryl Elkin, PhD&lt;br&gt;
Chief Scientific Officer&lt;br&gt;
N-of-One, a QIAGEN company&lt;/p&gt;
&lt;p&gt;Linda Call, Ph.D.&lt;br&gt;
Director of Scientific and Clinical Operations&lt;br&gt;
QIAGEN Digital Insights&lt;/p&gt;</video:description>
            <video:publication_date>2021-12-09T07:16:11+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2735</video:duration>
            <video:category>QCI PI</video:category>
            <video:tag>clinical</video:tag>
            <video:tag>qci precision insights</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/71887087/qiagen-ipa-deep-dive-and-new-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=71887087</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968559/71887087/c0e0d9f6cce755f09cc5673c66767a32/video_medium/qiagen-ipa-deep-dive-and-new-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968559/71887087/c0e0d9f6cce755f09cc5673c66767a32/small/qiagen-ipa-deep-dive-and-new-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA deep-dive and new features training, America - Nov 3 2021</video:title>
            <video:description>As requested by many users, your QIAGEN Digital Insights team is excited to introduce QIAGEN Ingenuity Pathway Analysis (IPA) deep-dive trainings. In these three-hour training sessions, we will discuss the following topics:
&lt;p&gt;Part 1: Deep dive into QIAGEN IPA core and comparison analyses&lt;/p&gt;
&lt;p&gt;Part 2: Deeper dive into how to use QIAGEN IPA even without user data&lt;/p&gt;</video:description>
            <video:publication_date>2021-11-04T20:50:52+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>10750</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ingenuity pathway analysis</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/71739664/drug-treatment-toxicology-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=71739664</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968566/71739664/027fb78ccff51300a74562fa8c576c07/video_medium/drug-treatment-toxicology-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968566/71739664/027fb78ccff51300a74562fa8c576c07/small/drug-treatment-toxicology-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Drug treatment, toxicology and target safety assessment using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft - Oct 26 2021</video:title>
            <video:description>In this 90-minute training, users will learn how to do drug treatment, toxicology and target safety assessment related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Using public data from GTEx (normal tissue), GEO, cancer collections and more, attendees will learn how to use Omicsoft Lands to:&lt;br&gt;
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more&lt;br&gt;
• Correlate expression of 2 or more genes&lt;br&gt;
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more&lt;/p&gt;
&lt;p&gt;Using findings from peer-reviewed publications and other sources, attendees will learn how to use QIAGEN IPA to:&lt;br&gt;
• Investigate the impact of targeting a gene/protein on different toxicological and biological functions&lt;br&gt;
• Derive tox findings for a gene of interest from QIAGEN IPA’s knowledgebase&lt;br&gt;
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset&lt;br&gt;
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries&lt;/p&gt;</video:description>
            <video:publication_date>2021-10-27T20:16:59+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5095</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>ingenuity pathway analysis</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/71724324/qiagen-omicsoft-trainings-3-part-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=71724324</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/71724324/39106c7911307e5f7b6071ac1eb850d0/video_medium/qiagen-omicsoft-trainings-3-part-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/71724324/39106c7911307e5f7b6071ac1eb850d0/small/qiagen-omicsoft-trainings-3-part-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN OmicSoft trainings- 3 part series - Oct 21 (part 2)</video:title>
            <video:description>In three separate 60-minute trainings, attendees will learn how to use basic expression analysis functionalities in QIAGEN OmicSoft OncoLand, DiseaseLand and OmicSoft Studio. QIAGEN OmicSoft Single Cell Land will also be discussed in OncoLand and DiseaseLand trainings, focusing on public single-cell data.
&lt;p&gt;Day 2: &lt;b&gt;Biomarker
discovery with QIAGEN OmicSoft DiseaseLand&lt;/b&gt;&lt;/p&gt;

&lt;p&gt;Leverage
DiseaseLand’s repositories of non-oncological diseases such as cardiovascular,
metabolic, neurological, gastrointestinal, liver and more to:&lt;/p&gt;

&lt;p&gt;• Discover and validate biomarker
expression in diseases, disease subtypes, treatments, cell types, etc.&lt;br&gt;
• Identify a list of biomarkers specifically expressed in disease, treatment
group, cell type or other condition of interest&lt;br&gt;
• Overlay expression of a gene on cell clusters of interest from public
single-cell data&lt;/p&gt;&lt;br&gt;</video:description>
            <video:publication_date>2021-10-26T21:30:52+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3447</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/71724237/qiagen-omicsoft-trainings-3-part-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=71724237</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/71724237/fe358459a3f1feced9d9aa7737e2eec6/video_medium/qiagen-omicsoft-trainings-3-part-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/71724237/fe358459a3f1feced9d9aa7737e2eec6/small/qiagen-omicsoft-trainings-3-part-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN OmicSoft trainings- 3 part series - Oct 20 (part 1)</video:title>
            <video:description>In three separate 60-minute trainings, attendees will learn how to use basic expression analysis functionalities in QIAGEN OmicSoft OncoLand, DiseaseLand and OmicSoft Studio. QIAGEN OmicSoft Single Cell Land will also be discussed in OncoLand and DiseaseLand trainings, focusing on public single-cell data.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;&lt;p&gt;Day 1: &lt;b&gt;Biomarker
discovery with QIAGEN OmicSoft OncoLand&lt;br&gt;
&lt;/b&gt;&lt;br&gt;
Leverage public oncology data from GEO, TCGA and other
collections to:&lt;/p&gt;&lt;p&gt;
• Discover and validate biomarker expression in diseases, disease subtypes,
treatments, cell types, etc.&lt;br&gt;
• Identify a list of biomarkers specifically expressed in disease, treatment
group, cell type or other condition of interest&lt;br&gt;
• Overlay expression of a gene on cell clusters of interest from public
single-cell data&lt;/p&gt;&lt;p&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2021-10-26T21:29:18+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3295</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/71281725/new-user-training-large-dataset-19</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=71281725</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968570/71281725/45ffdee8abda9a9e4f26b2f6958e8346/video_medium/new-user-training-large-dataset-19-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968570/71281725/45ffdee8abda9a9e4f26b2f6958e8346/small/new-user-training-large-dataset-19-thumbnail.jpg</video:thumbnail_loc>
            <video:title>New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA) - Oct 5 2021</video:title>
            <video:description>Join us for a 90-minute training session for new users of QIAGEN IPA.

Users will learn how to:
• Upload their dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA
• Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)
• Compare different experimental conditions (treatments, timepoints, single-cell clusters, disease types and more) and identify similarities and contrasts
• Generate a network even without a dataset or experimental design for hypothesis generation</video:description>
            <video:publication_date>2021-10-08T15:16:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5374</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>ingenuity pathway analysis</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/71185915/access-to-real-world-data-and-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=71185915</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/71185915/60420a388e6ff40db3a94ebaf2f96685/video_medium/access-to-real-world-data-and-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/71185915/60420a388e6ff40db3a94ebaf2f96685/small/access-to-real-world-data-and-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Access to real-world data and 2 decades of expert curation</video:title>
            <video:description>Across oncology applications, from research to molecular testing and pharmaceutical development, the ability to identify potentially actionable genetic alterations and exploit the molecular vulnerabilities of cancer is becoming increasingly difficult. Due to the sporadic nature of somatic cancers, the number of detected variants is exponentially growing, challenging scientists to confidently identify meaningful mutations that could influence or improve decisions in experimental design, at point-of-care, or in drug development.
&lt;p&gt;In this webinar, we will introduce you to the Human Somatic Mutation Database (HSMD)—a new somatic database developed by QIAGEN that contains extensive genomic content relevant to solid tumors and hematological malignancies. Available as a web-based application, this expert-curated resource contains content from over 300,000 real-world clinical oncology cases combined with content from the QIAGEN Knowledge Base, providing gene-level, alteration-level, and disease-level information including clinically observed gene and variant frequencies across diseases. Users can easily search and explore mutational characteristics across genes, synthesize key findings from drug labels, clinical trials, and professional guidelines, and receive detailed annotations for each observed variant. In addition, users can interrogate a bibliography of over 150,000 variant specific PubMed articles and access individual summaries alteration-type specific information written by PhD scientists.&lt;/p&gt;
&lt;p&gt;In this webinar, you will learn:&lt;/p&gt;
&lt;p&gt;What content sources power HSMD&lt;br&gt;
How to use and apply HSMD for multiple applications, including research, molecular testing, and pharmaceutical development&lt;br&gt;
When and where you can access HSMD&lt;/p&gt;</video:description>
            <video:publication_date>2021-10-01T15:12:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2652</video:duration>
            <video:category>Gene Variant Databases</video:category>
            <video:tag>databases</video:tag>
            <video:tag>HSMD</video:tag>
            <video:tag>oncology</video:tag>
            <video:tag>Somatic database</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/71170921/expression-data-analysis-using</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=71170921</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968578/71170921/312343c3a98f8d8a2534a20747035099/video_medium/expression-data-analysis-using-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968578/71170921/312343c3a98f8d8a2534a20747035099/small/expression-data-analysis-using-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Expression data analysis using QIAGEN Omicsoft Studio - Sep 28 2021</video:title>
            <video:description>
In this training, users will learn how to generate downstream outputs such as heatmaps, differential expression tables, PCA/PCOA plots, box plots and other visualizations from their count or expression data (transcriptomics, proteomics, metabolomics, etc.).

Attendees will learn how to:
• Import either normalized or raw count data (transcriptomics, proteomics, metabolomics, etc.) into QIAGEN OmicSoft Studio
• Generate downstream outputs such as differential expression tables, heatmaps, counts, PCA/PCOA, etc.
• Export high resolution graphics as well as raw or filtered tables
• Export results to QIAGEN Ingenuity Pathway Analysis
• Deploy easy-to-use pipelines for RNA-seq/scRNA-seq/microarray data
• Implement options for downloading or comparing public data (GEO, TCGA, etc.)

Speaker: Eric Seiser, Ph.D. Field Application Scientist, QIAGEN Digital Insights</video:description>
            <video:publication_date>2021-10-01T02:57:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5166</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/70175823/novel-discoveries-from-public</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=70175823</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/70175823/812967eb51104a3b19d391871742e16a/video_medium/novel-discoveries-from-public-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/70175823/812967eb51104a3b19d391871742e16a/small/novel-discoveries-from-public-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Novel discoveries from public single-cell RNA-seq data using QIAGEN OmicSoft and QIAGEN Ingenuity Pathway Analysis - July 29 2021</video:title>
            <video:description>QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) provide a powerful resource for exploring curated pre-analyzed public single-cell RNA-seq studies and providing downstream biological insights for these data. In this training, we will review how OmicSoft Lands allows for the interrogation of identified cell types within public single-cell datasets of interest and subsequent exploration of their associated gene signatures. The biological context of these signatures can then be explored within QIAGEN IPA, identifying key pathways and their associated activity, as well as predicting regulatory molecules that could function as biomarkers or drug targets. In addition, the biological signatures found in relevant cell types can be evaluated through comparison with other pre-analyzed single-cell and bulk RNA-seq studies to explore the conservation of these biological signals.
&lt;p&gt;In this webinar you will learn how to:&lt;br&gt;
• Easily search and locate scRNA-seq projects of interest within QIAGEN OmicSoft Lands&lt;br&gt;
• Determine gene expression signatures associated with cell types of interest&lt;br&gt;
• Easily search and interpret pathway analyses of pre-analyzed single-cell studies within QIAGEN IPA&lt;br&gt;
• Quickly identify and interpret key biological pathways and regulatory networks within QIAGEN IPA&lt;br&gt;
• Compare the biological findings for a cell type to other single-cell and bulk gene expression studies&lt;br&gt;
• Export results in graphical and tabular formats of interest&lt;/p&gt;</video:description>
            <video:publication_date>2021-07-30T02:37:01+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>5160</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>ipa tutorial</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69650731/discovery-from-public-oncological</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=69650731</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/69650731/07edfcf42c94025358a8c2c02c13247a/video_medium/discovery-from-public-oncological-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/69650731/07edfcf42c94025358a8c2c02c13247a/small/discovery-from-public-oncological-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Discovery from public oncological data using QIAGEN Omicsoft OncoLand and QIAGEN Ingenuity Pathway Analysis - June 17 2021</video:title>
            <video:description>In this 90-minute training, we will discuss how to discover and validate biomarkers as well as drug targets and key genes using public oncological data from GEO, TCGA, CCLE and other sources. To do this, we will use QIAGEN Omicsoft OncoLand, QIAGEN Ingenuity Pathway Analysis (IPA) and the OmicSoft Land Explorer web interface.
&lt;p&gt;Specifically, for conditions of interest (diseases, cell lines, treatments etc.), we will discuss how to:&lt;br&gt;
• Identify public studies of interest&lt;br&gt;
• Derive a biomarker/gene signature&lt;br&gt;
• Study expression of a gene or drug target&lt;br&gt;
• Correlate expression of multiple genes and biomarkers&lt;br&gt;
• Visualize a gene signature in the context of a heatmap&lt;br&gt;
• Compare public data with other public data or a user’s own data&lt;/p&gt;
&lt;p&gt;Speaker: Sumana Chintalapudi, Ph.D., Field Application Scientist, QIAGEN Digital Insights&lt;/p&gt;</video:description>
            <video:publication_date>2021-06-18T20:14:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4489</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>discovery</video:tag>
            <video:tag>english</video:tag>
            <video:tag>ipa webinar</video:tag>
            <video:tag>land explorer</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028434/qiagen-clc-genomics-workbench8-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=69028434</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/69028434/1776aa0f2323dc545ac5b55528dc2a96/video_medium/qiagen-clc-genomics-workbench8-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/69028434/1776aa0f2323dc545ac5b55528dc2a96/small/qiagen-clc-genomics-workbench8-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN CLC Genomics Workbenchによる解析8 蛋白質の3次構造の表示</video:title>
            <video:description>蛋白質3次構造のデータベースを用い、変異の位置の蛋白質の3次構造を表示させる方法の説明です。</video:description>
            <video:publication_date>2021-06-02T08:36:00+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>344</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028420/qiagen-clc-genomics-workbench7</loc>
        <video:video>
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            <video:title>QIAGEN CLC Genomics Workbenchによる解析7 系統樹の作成</video:title>
            <video:description>コンセンサス配列を用いてアライメントを行い、系統樹を作成する過程の説明です。</video:description>
            <video:publication_date>2021-06-02T08:35:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>410</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028344/qiagen-clc-genomics-workbench6</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=69028344</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968567/69028344/c7ec6a42b26d9bba0271b80aa6944169/video_medium/qiagen-clc-genomics-workbench6-video.mp4</video:content_loc>
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            <video:title>QIAGEN CLC Genomics Workbenchによる解析6 解析結果の確認</video:title>
            <video:description>レポート、ゲノムブラウザー等で結果の確認を行います。</video:description>
            <video:publication_date>2021-06-02T08:35:17+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>406</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
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    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028270/qiagen-clc-genomics-workbench5</loc>
        <video:video>
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            <video:title>QIAGEN CLC Genomics Workbenchによる解析5 SARS-CoV-2 解析ワークフローの実行</video:title>
            <video:description>リード配列のインポート、ワークフローの実行についての説明です。</video:description>
            <video:publication_date>2021-06-02T08:34:34+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>417</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028222/qiagen-clc-genomics-workbench4</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=69028222</video:player_loc>
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            <video:title>QIAGEN CLC Genomics Workbenchによる解析4 使用する各種フォルダーの場所等の設定</video:title>
            <video:description>設定ファイル、一時ファイルを既定の場所から変更する場合の説明です。既定の場所で問題ない場合はこの動画は飛ばしていただいて問題ありません。</video:description>
            <video:publication_date>2021-06-02T08:34:01+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>439</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
        </video:video>
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    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028217/qiagen-clc-genomics-workbench2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=69028217</video:player_loc>
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            <video:title>QIAGEN CLC Genomics Workbenchによる解析2 プラグインのインストール</video:title>
            <video:description>機能を追加するためのプラグインのインストールについての説明です。</video:description>
            <video:publication_date>2021-06-02T08:33:57+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>424</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028184/qiagen-clc-genomics-workbench3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=69028184</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968555/69028184/07e1ce2dd890f8b058d27bbd71250733/video_medium/qiagen-clc-genomics-workbench3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968555/69028184/07e1ce2dd890f8b058d27bbd71250733/small/qiagen-clc-genomics-workbench3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN CLC Genomics Workbenchによる解析3 ユーザーインターフェースの概略</video:title>
            <video:description>ファイル操作等のユーザーインターフェース、レファレンス配列の取得などについての説明です。</video:description>
            <video:publication_date>2021-06-02T08:33:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>334</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028108/qiagen-clc-genomics-workbench1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=69028108</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/69028108/03d8e6f9c13173314787ad867e4f5c7f/video_medium/qiagen-clc-genomics-workbench1-video.mp4</video:content_loc>
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            <video:title>QIAGEN CLC Genomics Workbenchによる解析1 インストールとライセンス認証</video:title>
            <video:description>QIAGEN CLC Genomics Workbenchのダウンロード、インストールおよびライセンス認証についてご説明いたします。</video:description>
            <video:publication_date>2021-06-02T08:32:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>352</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/69028093/ngs</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=69028093</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968576/69028093/e9302828a576ff834f3aee4e05f2c4c7/video_medium/ngs-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968576/69028093/e9302828a576ff834f3aee4e05f2c4c7/small/ngs-thumbnail.jpg</video:thumbnail_loc>
            <video:title>新型コロナウイルスの全ゲノム配列解析のためのNGSライブラリー調製試薬</video:title>
            <video:description>SARS-CoV-2ウイルスのターゲットNGS解析に最適なQIAseq SARS-CoV-2Primer Panelのご紹介をさせていただきます。&lt;br&gt;
&lt;a href="https://www.qiagen.com/us/products/next-generation-sequencing/rna-sequencing/qiaseq-sars-cov-2-primer-panel/?clear=true#productdetailshttp://"&gt;QIAseq SARS-CoV-2Primer Panelについて&lt;/a&gt;</video:description>
            <video:publication_date>2021-06-02T08:32:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>464</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>clc genomics tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/68056131/supporting-biomarker-discovery-one</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=68056131</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968560/68056131/21d5bf1278130e749c8e5c5bfe28b2c9/video_medium/supporting-biomarker-discovery-one-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968560/68056131/21d5bf1278130e749c8e5c5bfe28b2c9/small/supporting-biomarker-discovery-one-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Supporting Biomarker Discovery One Cell at a Time - Introduction to QIAGEN OmicSoft Single Cell Lands Part 1</video:title>
            <video:description>Single-cell gene expression analysis helps biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or within a unique cell type. In this talk we will explore new tools for analyzing, interpreting and explore scRNA-seq data and the underlying biology. We will also show how to integrate ‘omics datasets from different platforms to gain insights into the biology and molecular drivers of specific cell populations.&lt;br&gt;
Objectives:&lt;br&gt;
How to analyze scRNA-seq data without a bioinformatician or learning code.&lt;br&gt;
How to leverage automatic cell annotation to streamline your workflow.&lt;br&gt;
How to quickly comb millions of cells to identify
&lt;p&gt;Click &lt;a href="https://digitalinsights.qiagen.com/research-and-discovery/single-cell-genomics//?cmpid=CM_QDI_DISC_SC-webinar-labroots_0421_QDI_tvsite_SClabroots_&amp;amp;utm_source=tvsite_&amp;amp;utm_campaign=SC-Labroots"&gt;here&lt;/a&gt;&amp;nbsp;to learn more.&lt;/p&gt;</video:description>
            <video:publication_date>2021-04-05T20:57:52+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>972</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>labroots</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>single-cell</video:tag>
            <video:tag>Single Cell Land</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/67967938/novel-discoveries-utilizing-public</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=67967938</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968556/67967938/7e60e92a0d5ac6e84633309d2ba8b5f4/video_medium/novel-discoveries-utilizing-public-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968556/67967938/7e60e92a0d5ac6e84633309d2ba8b5f4/small/novel-discoveries-utilizing-public-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Novel discoveries utilizing public data through QIAGEN Omicsoft Lands - March 25 2021</video:title>
            <video:description>In this 90-minute video, users will learn how to discover and validate biomarkers, key regulators and targets through harnessing uniformly-processed public data from sources such as GEO, SRA, cancer collections (TCGA, CCLE etc.), normal tissue/cell type collections (GTEx, HPA etc.) and more using QIAGEN Omicsoft Lands.</video:description>
            <video:publication_date>2021-03-26T22:44:38+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>4282</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/67385051/single-cell-rna-seq-analysis-made</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=67385051</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/67385051/9a9815308a9ac8fce475e79484b3a011/video_medium/single-cell-rna-seq-analysis-made-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/67385051/9a9815308a9ac8fce475e79484b3a011/small/single-cell-rna-seq-analysis-made-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Single-cell RNA-seq analysis made easy - February 24</video:title>
            <video:description>Single-cell gene expression analysis starting from either FASTQ or expression data is now supported by QIAGEN CLC Genomics Workbench Premium, the scalable cross-platform desktop software for NGS data analysis. In this webinar, we will re-analyze data from a study on transcriptional profiling of the mouse heart (Skelly et al., 2018), starting from FASTQ and ending with detecting sexually dimorphic genes within different cell types.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Reference: Skelly, Daniel A., et al. (2018) Single-cell transcriptional profiling reveals cellular diversity and intercommunication in the mouse heart. Cell reports 22.3: 600-610.&lt;/p&gt;
&lt;p&gt;Topics covered:&lt;br&gt;
• Introduction to the QIAGEN CLC Genomics Workbench&lt;br&gt;
• Generation of t-SNE and UMAP plots, starting from raw FASTQ read files&lt;br&gt;
• Automated annotation of cell types using QIAGEN’s cell type classifier&lt;br&gt;
• Detection of differentially expressed genes in different cell types in a case vs. control setting&lt;/p&gt;</video:description>
            <video:publication_date>2021-02-27T03:33:31+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2434</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>clc genomics workbench</video:tag>
            <video:tag>clc webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/65724671/qci-interpret-translational</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=65724671</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968568/65724671/4341927b436f29ca86b12ccd7dbbbad4/video_medium/qci-interpret-translational-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968568/65724671/4341927b436f29ca86b12ccd7dbbbad4/small/qci-interpret-translational-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QCI Interpret Translational Tutorial</video:title>
            <video:description></video:description>
            <video:publication_date>2020-12-18T13:56:15+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>681</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>qci it tutorial</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/65701541/qiagen-omicsoft-land-explorer-for-10</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=65701541</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968580/65701541/06a2f0ed87bdf4993d8d14b1d5983530/video_medium/qiagen-omicsoft-land-explorer-for-10-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968580/65701541/06a2f0ed87bdf4993d8d14b1d5983530/small/qiagen-omicsoft-land-explorer-for-10-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN OmicSoft Land Explorer for IPA チュートリアル11 Single Cell Land</video:title>
            <video:description>&lt;div&gt;&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;Single Cell Land は1細胞レベルの発現情報を集めたLandです。多細胞での発現情報では得られない情報が取得できる場合があります。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2020-12-17T14:46:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>152</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os le tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/65701524/qiagen-omicsoft-land-explorer-for-9</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=65701524</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968577/65701524/3b039fa3efcf9b87f7579331a76f0804/video_medium/qiagen-omicsoft-land-explorer-for-9-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968577/65701524/3b039fa3efcf9b87f7579331a76f0804/small/qiagen-omicsoft-land-explorer-for-9-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN OmicSoft Land Explorer for IPA チュートリアル10 QIAGEN DiseaseLand</video:title>
            <video:description>&lt;div&gt;&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;がん以外の疾患を対象にした QIAGEN DiseaseLand では Disease vs. Normal, Responder vs. Non-Responder 等の比較が中心のビューになります。特定の疾患、プロジェクトについての多様な情報が閲覧できます。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2020-12-17T14:45:55+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>216</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os le tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/65701507/qiagen-omicsoft-land-explorer-for-8</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=65701507</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/64968569/65701507/19e18b54d07beede45a2b82f6f074d39/video_medium/qiagen-omicsoft-land-explorer-for-8-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/64968569/65701507/19e18b54d07beede45a2b82f6f074d39/small/qiagen-omicsoft-land-explorer-for-8-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN OmicSoft Land Explorer for IPA チュートリアル9 融合遺伝子解析</video:title>
            <video:description>&lt;div&gt;&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;1遺伝子を指定しただけでも融合遺伝子の候補を表示することができ、またサンプル、遺伝子、変異の場所による様々な表示、サンプルの絞り込みが行えます。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;</video:description>
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        <video:video>
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            <video:description>&lt;div&gt;&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;QIAGEN OmicSoftの変異解析の結果はオミックデータ解析という発現、変異、コピー数等の実験結果のデータに基づいた表示を取り入れることにより、多様な視覚化が可能になります。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;</video:description>
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            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os le tutorial japanese</video:tag>
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            <video:title>QIAGEN OmicSoft Land Explorer for IPA チュートリアル7 複数遺伝子の発現解析</video:title>
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            <video:publication_date>2020-12-17T14:27:02+00:00</video:publication_date>
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            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os le tutorial japanese</video:tag>
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            <video:tag>os le tutorial japanese</video:tag>
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            <video:tag>os le tutorial japanese</video:tag>
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            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os le tutorial japanese</video:tag>
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            <video:publication_date>2020-12-17T14:21:29+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>134</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os le tutorial japanese</video:tag>
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            <video:title>QIAGEN OmicSoft Land Explorer for IPA チュートリアル1 Introduction</video:title>
            <video:description>&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;
  &lt;td&gt;QIAGEN
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  Explorer for IPAについてご説明いたします。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;</video:description>
            <video:publication_date>2020-12-17T14:20:52+00:00</video:publication_date>
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            <video:category>日本語 (Japanese)</video:category>
            <video:tag>os le tutorial japanese</video:tag>
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            <video:publication_date>2020-09-26T23:38:14+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2391</video:duration>
            <video:category>Discovery and Research User Group Meetings +</video:category>
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            <video:tag>omicsoft tutorial</video:tag>
            <video:tag>omicsoft ugm</video:tag>
            <video:tag>omicsoft webinar</video:tag>
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        <video:video>
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            <video:content_loc>https://tv.qiagenbioinformatics.com/60650857/64474191/1df318b217fae8fda15db9aa40c1c455/video_medium/qiagen-ipa-5-video.mp4</video:content_loc>
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            <video:title>QIAGEN IPA チュートリアル5 コアー解析の設定と実行</video:title>
            <video:description>IPAの主要な解析のセットであるコアー解析の設定、実行についての説明です。</video:description>
            <video:publication_date>2020-09-23T10:39:37+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>254</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
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    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474188/qiagen-ipa-6</loc>
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            <video:content_loc>https://tv.qiagenbioinformatics.com/60650861/64474188/bf74afe2e05f11cd10a97a749afd5335/video_medium/qiagen-ipa-6-video.mp4</video:content_loc>
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            <video:title>QIAGEN IPA チュートリアル6 コアー解析の結果のまとめ</video:title>
            <video:description>"コアー解析実行結果のまとめ（Summary）についての説明です。	"</video:description>
            <video:publication_date>2020-09-23T10:39:22+00:00</video:publication_date>
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            <video:duration>64</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
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    <url>
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        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474187</video:player_loc>
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            <video:title>QIAGEN IPAチュートリアル7 パスウエイ解析</video:title>
            <video:description>&lt;div&gt;&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;既知のどのようなパスウエイの活性化、不活化にアップロードしたデータが寄与しているか等既知のバスウエイと自分のデータとの関連が調べられます。またActivity Plot により、公開されている約15&lt;span&gt;万の実験結果で特定のパスウエイが活性化されているかの情報も得られます。&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2020-09-23T10:39:21+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>513</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
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        <video:video>
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            <video:content_loc>https://tv.qiagenbioinformatics.com/60445029/64474173/e88f77faa1004a02fe3d10d8900d97d4/video_medium/qiagen-ipa-8-video.mp4</video:content_loc>
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            <video:title>QIAGEN IPA チュートリアル8 上流制御因子の解析</video:title>
            <video:description>コアー解析の中でも使用される頻度の高い上流制御因子の解析です。</video:description>
            <video:publication_date>2020-09-23T10:38:42+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>375</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
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    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474153/qiagen-ipa-9</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474153</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60445192/64474153/c8106fa99fdc97b33ecd1daa4f990ccb/video_medium/qiagen-ipa-9-video.mp4</video:content_loc>
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            <video:title>QIAGEN IPA チュートリアル9 更なる上流因子の解析</video:title>
            <video:description>上流因子の更に上流の、マスター制御因子となっているかもしれない因子の解析（Causal networks）です。</video:description>
            <video:publication_date>2020-09-23T10:38:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>133</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
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    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474148/qiagen-ipa-10</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474148</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60445026/64474148/4cf50b68b6bcbc7661a815e5b64b3bcb/video_medium/qiagen-ipa-10-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60445026/64474148/4cf50b68b6bcbc7661a815e5b64b3bcb/small/qiagen-ipa-10-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA チュートリアル10 下流解析</video:title>
            <video:description>下流解析（疾患、機能の解析）です。最初に下流の影響が四角形のヒートマップで表示されます。</video:description>
            <video:publication_date>2020-09-23T10:37:54+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>235</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474139/qiagen-ipa-11-regulator-effects</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474139</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60445027/64474139/0d55da7b1dad963810c18d78149b3b38/video_medium/qiagen-ipa-11-regulator-effects-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60445027/64474139/0d55da7b1dad963810c18d78149b3b38/small/qiagen-ipa-11-regulator-effects-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA チュートリアル11 Regulator Effects</video:title>
            <video:description>上流と下流を矛盾が少ないように繋いだネットワーク Regulator Effects です。薬剤の新たな疾患の治療薬候補が見つかるかもしれません。</video:description>
            <video:publication_date>2020-09-23T10:37:23+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>93</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474138/qiagen-ipa12-analysis-match</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474138</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60445186/64474138/8a859f84adf50277f16c93be36c5656c/video_medium/qiagen-ipa12-analysis-match-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60445186/64474138/8a859f84adf50277f16c93be36c5656c/small/qiagen-ipa12-analysis-match-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPAチュートリアル12 実験結果の類似性検索 Analysis Match</video:title>
            <video:description>&lt;div&gt;&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;IPAには公開されている約110,000の差解析を行った実験のコアー解析の結果があります。Analysis Match により自分の実験結果と類似した実験を探索することができます。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2020-09-23T10:37:20+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>230</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474071/qiagen-ipa-4</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474071</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60445187/64474071/b073a386812d355c8b708698f50a77e4/video_medium/qiagen-ipa-4-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60445187/64474071/b073a386812d355c8b708698f50a77e4/small/qiagen-ipa-4-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA チュートリアル4 データアップロード</video:title>
            <video:description>&lt;div&gt;&lt;table&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td&gt;IPAにデータをアップロードする際、Excel形式でもアップロードできますが、ネットワークの負荷を減らすためタブ区切りのテキスト形式にしてアップロードするとアップロードの時間が短縮されます。&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;</video:description>
            <video:publication_date>2020-09-23T10:34:20+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>255</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474070/qiagen-ipa-3</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474070</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60650859/64474070/ed56a7c31cc54f784f9ae09c67caa62c/video_medium/qiagen-ipa-3-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60650859/64474070/ed56a7c31cc54f784f9ae09c67caa62c/small/qiagen-ipa-3-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA チュートリアル3 テキストデータをエクセルに変換するときの注意点</video:title>
            <video:description>遺伝子名（Gene Symbol） にはSEPT7等、日付に似た名前があります。遺伝子名が入ったデータをエクセルに変換するときには注意が必要です。</video:description>
            <video:publication_date>2020-09-23T10:34:20+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>94</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474043/qiagen-ipa-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474043</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60650857/64474043/4867e4543d6f6d7953c0ef86896cccc9/video_medium/qiagen-ipa-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60650857/64474043/4867e4543d6f6d7953c0ef86896cccc9/small/qiagen-ipa-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA チュートリアル2 入力データの準備</video:title>
            <video:description>入力データの形式、IPAで用意されているサンプルデータを利用する方法についての説明です。</video:description>
            <video:publication_date>2020-09-23T10:33:26+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>169</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
            <video:tag>japan</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/64474005/qiagen-ipa-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=64474005</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60445188/64474005/1b9c151ed5b944dc950bed70cbb3110a/video_medium/qiagen-ipa-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60445188/64474005/1b9c151ed5b944dc950bed70cbb3110a/small/qiagen-ipa-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN IPA  チュートリアル1 初期設定と終了</video:title>
            <video:description>最初に一度だけ必要な最低限必要な初期設定（使用でいるメモリーの最大値の設定）と終了の仕方の説明です。</video:description>
            <video:publication_date>2020-09-23T10:32:00+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>62</video:duration>
            <video:category>日本語 (Japanese)</video:category>
            <video:tag>ipa tutorial japanese</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/63002071/may-2020-ipa-os-ugm-1omicsoft</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=63002071</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60650861/63002071/1158a64bd8fb5d0a6815c148294323eb/video_medium/may-2020-ipa-os-ugm-1omicsoft-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60650861/63002071/1158a64bd8fb5d0a6815c148294323eb/small/may-2020-ipa-os-ugm-1omicsoft-thumbnail.jpg</video:thumbnail_loc>
            <video:title>May 2020 IPA-OS UGM - 1.OmicSoft Core Capabilities Training - Features that drive Value - Eric Seiser.mp4</video:title>
            <video:description></video:description>
            <video:publication_date>2020-05-22T23:30:09+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2734</video:duration>
            <video:category>Discovery and Research User Group Meetings +</video:category>
            <video:tag>discovery</video:tag>
            <video:tag>diseaseland</video:tag>
            <video:tag>May2020-IPA-OS-UGM</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft tutorial</video:tag>
            <video:tag>Training</video:tag>
            <video:tag>UGM</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/62194252/leveraging-qiagen-omicsoft-for-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=62194252</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60445192/62194252/5482f74c07485e02c2b2496882f64be7/video_medium/leveraging-qiagen-omicsoft-for-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60445192/62194252/5482f74c07485e02c2b2496882f64be7/small/leveraging-qiagen-omicsoft-for-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Leveraging QIAGEN OmicSoft for scRNA-Seq in Pharma - Mike Dufault - Sanofi</video:title>
            <video:description></video:description>
            <video:publication_date>2020-04-15T17:14:58+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1065</video:duration>
            <video:category>QIAGEN OmicSoft and Biomedical Knowledge Base</video:category>
            <video:tag>discovery</video:tag>
            <video:tag>gate</video:tag>
            <video:tag>ipa ugm</video:tag>
            <video:tag>kol</video:tag>
            <video:tag>omicsoft</video:tag>
            <video:tag>omicsoft tutorial</video:tag>
            <video:tag>single-cell</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/61879543/april-1-2020-1-omicsoft</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=61879543</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/60445027/61879543/3c666c023ae4c368ae3214f1bcdfa7ad/video_medium/april-1-2020-1-omicsoft-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/60445027/61879543/3c666c023ae4c368ae3214f1bcdfa7ad/small/april-1-2020-1-omicsoft-thumbnail.jpg</video:thumbnail_loc>
            <video:title>April 1, 2020 - 1 - OmicSoft DiseaseLand Core Capabilities Training - Elodie Dubus</video:title>
            <video:description></video:description>
            <video:publication_date>2020-04-02T21:21:36+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2300</video:duration>
            <video:category>Discovery and Research User Group Meetings +</video:category>
            <video:tag>biomarker</video:tag>
            <video:tag>Discovery</video:tag>
            <video:tag>DiseaseLand</video:tag>
            <video:tag>OmicSoft</video:tag>
            <video:tag>omicsoft tutorial</video:tag>
            <video:tag>omicsoft webinar</video:tag>
            <video:tag>Training</video:tag>
            <video:tag>Webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/59979586/qiagen-clc-genomics-workbench-20-2</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=59979586</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/49543314/59979586/8b3e66765e2e33a727d4ee57792d20f8/video_medium/qiagen-clc-genomics-workbench-20-2-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/49543314/59979586/8b3e66765e2e33a727d4ee57792d20f8/small/qiagen-clc-genomics-workbench-20-2-thumbnail.jpg</video:thumbnail_loc>
            <video:title>QIAGEN CLC Genomics Workbench 20 – scalable desktop software for NGS data analysis</video:title>
            <video:description>In this webinar, Leif Schauser, Ph.D., Director Product Management Genome Analysis, will review the latest features in the new QIAGEN CLC Genomics Workbench 20.  The following topics will be covered:&lt;br&gt;
•	One-click solutions and expert tools for NGS data analysis&lt;br&gt;
•	Working with reads from various platforms (Illumina, IonTorrent, Oxford Nanopore, Pacific Biosciences, BGI/MGI)&lt;br&gt;
•	Tailored solutions for RNA-seq, DNA-seq and methylation&lt;br&gt;
•	Efficient algorithms for read trimming, mapping, de novo assembly and variant calling&lt;br&gt;
•	Effective management of reference data&lt;br&gt;
•	Scalable processing of many samples, with advanced workflow and reporting capabilities&lt;br&gt;
•	Easy installation on Windows, Mac and Linux&lt;br&gt;&lt;br&gt;&lt;p&gt;Interested in learning more?&lt;/p&gt;&lt;p&gt;&lt;b&gt;Click&amp;nbsp;&lt;/b&gt;&lt;b&gt;&lt;u&gt;&lt;a href="https://digitalinsights.qiagen.com/products-overview/analysis-and-visualization/qiagen-clc-genomics-workbench?cmpid=BIOX_WEB_BioX_20200128_tv.qiagenbioinformatics_Webinar_BioxBA_Must_Win_1_BIOX"&gt;here&lt;/a&gt;&lt;/u&gt;&lt;/b&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2020-01-28T18:15:27+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>3227</video:duration>
            <video:category>QIAGEN CLC Genomics</video:category>
            <video:tag>clc</video:tag>
            <video:tag>clc genomics workbench tutorial</video:tag>
            <video:tag>clc webinar</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>gene regulation</video:tag>
            <video:tag>genomics workbench</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/57595637/ipa-webinar-part-3-search-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=57595637</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/49543329/57595637/bfd3de886d4ec51a9049b4450efcc553/video_medium/ipa-webinar-part-3-search-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/49543329/57595637/bfd3de886d4ec51a9049b4450efcc553/small/ipa-webinar-part-3-search-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Webinar: Part 3: Search and Explore in IPA</video:title>
            <video:description>&lt;p&gt;&amp;nbsp;IPA has broadly been adopted by the life science
research community and is cited in thousands of articles for the analysis,
integration, and interpretation of data derived from ‘omics experiments, such
as RNA-seq, small RNA-seq, microarrays including miRNA and SNP, metabolomics,
proteomics, and small scale experiments. Hosted by two QIAGEN Senior Scientists,
this series will show you step-by-step how to implement and use IPA to get the
most out of your data.&lt;/p&gt;

&lt;p&gt;Part 3: Search and Explore in IPA&lt;/p&gt;

&lt;p&gt;Learn how IPA’s knowledge and discovery tools can accelerate
your research with the use of recent literature findings and assistance in
hypothesis generation. This webinar will describe how to explore inter-related
information about genes, biological pathways and more using interactive and
customized tools. Leverage this information instantly without needing to upload
your data.&lt;/p&gt;&lt;p&gt;Interested in learning more or trying IPA? Click&amp;nbsp;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/"&gt;here&lt;/a&gt;.&lt;br&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2019-11-12T17:25:05+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2315</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>discovery</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>ipa tutorial</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/57595023/ipa-webinar-part-2-formatting-and</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=57595023</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/49543313/57595023/fe35f2a1248b5cda63d5284582adfbab/video_medium/ipa-webinar-part-2-formatting-and-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/49543313/57595023/fe35f2a1248b5cda63d5284582adfbab/small/ipa-webinar-part-2-formatting-and-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Webinar: Part 2: Formatting and Uploading Your Dataset into IPA</video:title>
            <video:description>&lt;p&gt;&amp;nbsp;IPA has broadly been adopted by the life science
research community and is cited in thousands of articles for the analysis,
integration, and interpretation of data derived from ‘omics experiments, such
as RNA-seq, small RNA-seq, microarrays including miRNA and SNP, metabolomics,
proteomics, and small scale experiments. Hosted by two QIAGEN Senior Scientists,
this series will show you step-by-step how to implement and use IPA to get the
most out of your data.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Part 2: Formatting and Uploading Your Dataset into IPA&lt;/b&gt;&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Learn how to format your own data and upload it into IPA so
that you can perform pathway visualization and various different types of
analyses. Learn how to:&lt;/b&gt;&lt;/p&gt;

&lt;p&gt;&lt;b&gt;•&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/b&gt;Format and upload the data to be analyzed by IPA&lt;/p&gt;

&lt;p&gt;•&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Explore
your uploaded data and start an analysis&lt;/p&gt;&lt;p&gt;Interested in learning more or trying IPA? Click&amp;nbsp;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/"&gt;here&lt;/a&gt;.&lt;br&gt;&lt;/p&gt;</video:description>
            <video:publication_date>2019-11-12T16:50:38+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2313</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>discovery</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>ipa tutorial</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/57594534/ipa-webinar-part-1-introduction-to</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=57594534</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/49543317/57594534/f80584fffc03740c0a89e3014e215af7/video_medium/ipa-webinar-part-1-introduction-to-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/49543317/57594534/f80584fffc03740c0a89e3014e215af7/small/ipa-webinar-part-1-introduction-to-thumbnail.jpg</video:thumbnail_loc>
            <video:title>IPA Webinar: Part 1: Introduction to Ingenuity Pathway Analysis</video:title>
            <video:description>&lt;p&gt;Learn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!&lt;br&gt;&lt;/p&gt;&lt;p&gt;IPA has broadly been adopted by the life science research
community and is cited in thousands of articles for the analysis, integration,
and interpretation of data derived from ‘omics experiments, such as RNA-seq,
small RNA-seq, microarrays including miRNA and SNP, metabolomics, proteomics,
and small scale experiments. Hosted by two QIAGEN Senior Scientists, this
series will show you step-by-step how to implement and use IPA to get the most
out of your data.&lt;/p&gt;

&lt;p&gt;Part 1: Introduction to the IPA Core Analysis&lt;/p&gt;

&lt;p&gt;Learn how to view and interpret Core Analysis results in IPA,
which allows you to relate the molecules in your dataset to information in the
QIAGEN Knowledge Base. You will learn how to:&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;Uncover
     signaling and metabolic canonical pathways enriched in your data&lt;/li&gt;
 &lt;li&gt;Predict
     activation or inhibition of upstream regulators&lt;/li&gt;
 &lt;li&gt;Identify
     biological functions and diseases that are predicted to be increasing or
     decreasing&lt;/li&gt;
 &lt;li&gt;Generate
     causal hypotheses&lt;/li&gt;
 &lt;li&gt;Build
     networks describing potential molecular interactions of your dataset
     molecules&lt;/li&gt;
 &lt;li&gt;Compare
     your analyses to thousands of analyses created from public datasets&lt;/li&gt;
&lt;/ul&gt;Interested in learning more or trying IPA? Click&amp;nbsp;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/"&gt;here&lt;/a&gt;.&lt;br&gt;</video:description>
            <video:publication_date>2019-11-12T16:27:35+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2591</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>discovery</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>ipa tutorial</video:tag>
            <video:tag>lynne</video:tag>
            <video:tag>mullen</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/50301639/data-formatting-in-ipa</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=50301639</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/49543322/50301639/be21358a3596d3bcf194d1d041fbb9ca/video_medium/data-formatting-in-ipa-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/49543322/50301639/be21358a3596d3bcf194d1d041fbb9ca/small/data-formatting-in-ipa-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Data Formatting in IPA</video:title>
            <video:description>Learn how to format your dataset for upload and subsequent analysis in 
IPA. In this video tutorial, you will discover the best practices for 
structuring your dataset and the data measurement value types you can 
use for various IPA analyses.&lt;br&gt;&lt;p&gt;Interested in
learning more?&lt;/p&gt;

&lt;p&gt;&lt;span&gt;Click &lt;b&gt;&lt;u&gt;&lt;a href="https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis/?cmpid=BIOX_WEB_BioX_20191605_tv.qiagenbioinformatics_Webinar_BioxBA_Must_Win_1_BIOX"&gt;here&lt;/a&gt;&lt;/u&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;br&gt;</video:description>
            <video:publication_date>2019-04-11T12:05:59+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>434</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>discovery</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>ipa tutorial</video:tag>
            <video:tag>training</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/44600888/formatting-and-uploading-your</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=44600888</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/16107557/44600888/236f5c74bf76ab7e7022ccec23d4a013/video_medium/formatting-and-uploading-your-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/16107557/44600888/236f5c74bf76ab7e7022ccec23d4a013/small/formatting-and-uploading-your-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Formatting and uploading your dataset into IPA</video:title>
            <video:description>&lt;div&gt;Learn how to format your own data and how to upload it into IPA. IPA can upload your experimental data to enable you to perform pathways visualization, literature searches on the molecules in the dataset, and to perform the many different types of analyses offered in IPA. In this webinar we will use gene expression data as an example dataset.&lt;/div&gt;&lt;div&gt;&lt;p&gt;Interested in
learning more?&lt;/p&gt;

&lt;p&gt;&lt;span&gt;Click &lt;b&gt;&lt;u&gt;&lt;a href="https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis/?cmpid=BIOX_WEB_BioX_20191605_tv.qiagenbioinformatics_Webinar_BioxBA_Must_Win_1_BIOX"&gt;here&lt;/a&gt;&lt;/u&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;b&gt;Timestamp placements and descriptions: &lt;/b&gt;&lt;br&gt;

&lt;p&gt;0:00-2:09&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Introduction to the webinar&lt;/p&gt;

&lt;p&gt;2:10-3:44&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Example dataset used for the live demonstration&lt;/p&gt;

&lt;p&gt;3:45-7:58&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Dataset formatting rules&lt;/p&gt;

&lt;p&gt;7:59-8:57&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Multiple Observation dataset example&lt;/p&gt;

&lt;p&gt;8:58-11:42&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Types of data measurement values you can use&lt;/p&gt;

&lt;p&gt;11:43-13:03&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Additional formatting rules&lt;/p&gt;

&lt;p&gt;13:04-14:32&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Uploading files from Cufflinks software&lt;/p&gt;

&lt;p&gt;14:33-16:22&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Live demo: where you can start the upload process&lt;/p&gt;

&lt;p&gt;16:23-26:06&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Uploading data with Core Analysis options&lt;/p&gt;

&lt;p&gt;26:07-27:07&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Setting up the type of Core Analysis to be used&lt;/p&gt;

&lt;p&gt;27:08-29:21&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Create Core Analysis page: General Settings&lt;/p&gt;

&lt;p&gt;29:22-30:38&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Create Core Analysis page: Network options&lt;/p&gt;

&lt;p&gt;30:39-31:26&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Create Core Analysis page: Other filtering options&lt;/p&gt;

&lt;p&gt;31:27-32:57&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Create Core Analysis page: Preview dataset options&lt;/p&gt;

&lt;p&gt;32:58-34:31&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Create Core Analysis page: Applying cutoffs&lt;/p&gt;

&lt;p&gt;34:32-35:36&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; How to start the analysis&lt;/p&gt;

&lt;p&gt;35:37-38:07&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Summary of the webinar&lt;/p&gt;

&lt;p&gt;38:08-end&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Customer Support and additional resources information&lt;/p&gt;

&lt;/div&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;</video:description>
            <video:publication_date>2019-03-05T21:47:19+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2369</video:duration>
            <video:category>Web seminar recordings</video:category>
            <video:tag>analysis match</video:tag>
            <video:tag>discovery</video:tag>
            <video:tag>ipa</video:tag>
            <video:tag>webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/34909147/part-iii-formatting-and-uploading-your-data-into</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=34909147</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/27288173/34909147/2ad09306368d9893d0a50f528a9b86be/video_medium/part-iii-formatting-and-uploading-your-data-into-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/27288173/34909147/2ad09306368d9893d0a50f528a9b86be/small/part-iii-formatting-and-uploading-your-data-into-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Part III: Formatting and Uploading Your Data into IPA</video:title>
            <video:description>Learn how to format your own data and how to upload it into IPA. IPA can upload your experimental data to enable you to perform pathways visualization, literature searches on the molecules in the dataset, and enable you to perform the many different type of analyses offered in IPA. In this webinar we will use metastatic melanoma microarray data as an example dataset.
&lt;p&gt;&lt;b&gt;Learn how to:&lt;/b&gt;&lt;br&gt;
•	Format the incoming data to be analyzed by IPA&lt;br&gt;
•	Upload the data for analysis&lt;br&gt;
•	Explore your uploaded data&lt;br&gt;
•	Start a Core Analysis&lt;/p&gt;&lt;p&gt;&lt;b&gt;&lt;u&gt;Sections:&lt;/u&gt;&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Minutes&amp;nbsp;&amp;nbsp;&lt;/b&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;b&gt;Description&lt;/b&gt;&lt;/p&gt;

&lt;p&gt;0:00-2:08&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Introduction to the webinar&lt;/p&gt;

&lt;p&gt;2:09-3:06&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Description of the dataset used for the demonstration&lt;/p&gt;

&lt;p&gt;3:07-7:17&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Rules for formatting the dataset&lt;/p&gt;

&lt;p&gt;7:18-9:44&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Data measurements values that can be used&lt;/p&gt;

&lt;p&gt;9:45-11:24&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Additional formatting rules and potential issues&lt;/p&gt;

&lt;p&gt;11:25-12:47&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;How to import Cuffdiff files&lt;/p&gt;

&lt;p&gt;12:48-14:48&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Where you can upload data in IPA&lt;/p&gt;

&lt;p&gt;14:49-15:12&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Navigating to the dataset&lt;/p&gt;

&lt;p&gt;15:13-17:40&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Dataset upload options&lt;/p&gt;

&lt;p&gt;17:41-22:45&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Mapping columns in the Raw Data view&lt;/p&gt;

&lt;p&gt;22:46-24:03&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Adding metadata&lt;/p&gt;

&lt;p&gt;24:04-24:35&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Saving the dataset&lt;/p&gt;

&lt;p&gt;24:36-29:57&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Creating Core Analysis settings&lt;/p&gt;

&lt;p&gt;29:58-31:14&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Previewing the dataset&lt;/p&gt;

&lt;p&gt;31:15-35:10&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Setting cutoffs&lt;/p&gt;

&lt;p&gt;35:11-38:41&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Starting the analysis and Summary&lt;/p&gt;

&lt;p&gt;38:42-39:41&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;Upcoming webinars&lt;/p&gt;

&lt;p&gt;39:42 to
end&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; How to contact us&lt;/p&gt;&lt;br&gt;</video:description>
            <video:publication_date>2018-08-21T12:40:12+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2448</video:duration>
            <video:category>QIAGEN IPA</video:category>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/19605716/understanding-the-p-value-of</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=19605716</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/19476794/19605716/3f010f6e26d0f172f765bc2ed547ff43/video_medium/understanding-the-p-value-of-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/19476794/19605716/3f010f6e26d0f172f765bc2ed547ff43/small/understanding-the-p-value-of-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Understanding the P-Value of Overlap Statistic in IPA</video:title>
            <video:description>Learn how to interpret your p-value of overlaps results in IPA. You can gain a deeper understanding of the right-tailed Fisher’s Exact Test, why it’s used in IPA, how the results are calculated, and caveats to keep in mind when interpreting your results.&lt;br&gt;For more information visit&amp;nbsp;our &lt;a href="https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis/?cmpid=BIOX_WEB_BioX_20191605_tv.qiagenbioinformatics_Webinar_BioxBA_Must_Win_1_BIOX"&gt;&lt;u&gt;&lt;b&gt;website&lt;/b&gt;&lt;/u&gt;&lt;/a&gt;&lt;br&gt;&lt;br&gt;Sections:&lt;br&gt;&lt;div&gt;0:00-1:09 &amp;nbsp;Introduction to the video. The two types of p-values that are relevant for IPA and how they differ.&lt;/div&gt;&lt;div&gt;1:09-2:25 &amp;nbsp;History of the Fisher’s Exact Test: the “Lady Tasting Tea” experiment.&lt;/div&gt;&lt;div&gt;2:25-5:50 &amp;nbsp;Hypothesis testing for enrichment in IPA. The reference set, the null hypothesis used, and the overlap of molecules defined.&lt;/div&gt;&lt;div&gt;5:51-7:58 &amp;nbsp;Why the right-tailed Fisher’s Exact Test is used in IPA.&lt;/div&gt;&lt;div&gt;7:58- 8:41 &amp;nbsp;Explanation of sampling and expected proportions from the hypergeometric distribution.&lt;/div&gt;&lt;div&gt;8:41-9:34 &amp;nbsp;Defining significance levels in the distribution. Why only the right-tailed, rather than two-tailed test, is considered in IPA.&lt;/div&gt;&lt;div&gt;9:35-11:04 &amp;nbsp;The p-value defined and default significance level used in IPA.&lt;/div&gt;&lt;div&gt;11:04-11:12 &amp;nbsp;How the p-value is calculated. &amp;nbsp;How data is entered into the 2 x 2 contingency table and the formula used.&lt;/div&gt;&lt;div&gt;11:13-13:34 &amp;nbsp;Example calculation and interpretation using the “Lady Tasting Tea” experimental data. Why the p-value of overlap calculations are Exact.&lt;/div&gt;&lt;div&gt;13:35-15:09 &amp;nbsp;Transcriptomics example: Number of molecules tested and how they are categorized.&lt;/div&gt;&lt;div&gt;15:10-16:10 &amp;nbsp;Transcriptomics example: data in 2 x2 contingency table, p-value calculation performed and interpreted.&lt;/div&gt;&lt;div&gt;16:11-18:07 &amp;nbsp;Caveats for using and interpreting the p-value of overlap statistic in IPA.&lt;/div&gt;&lt;div&gt;18:08-18:36 &amp;nbsp;Where to find more information about IPA and Customer Support information.&lt;/div&gt;</video:description>
            <video:publication_date>2017-10-17T08:35:03+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>1117</video:duration>
            <video:category>Tutorials</video:category>
            <video:tag>Fischer's Exact Test</video:tag>
            <video:tag>Fisher’s Exact Test</video:tag>
            <video:tag>hypergeometric distribution</video:tag>
            <video:tag>ingenuity pathway analysis</video:tag>
            <video:tag>IPA</video:tag>
            <video:tag>IPA Fisher’s Exact Test</video:tag>
            <video:tag>ipa tutorial</video:tag>
            <video:tag>p-value</video:tag>
            <video:tag>p-value of overlap</video:tag>
            <video:tag>p-value p-value of overlap</video:tag>
            <video:tag>reference set</video:tag>
            <video:tag>right-tailed Fisher’s Exact Test</video:tag>
            <video:tag>test</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/17199396/interpreting-the-results-of-your</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=17199396</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/16107559/17199396/92dbc34c68bf7a5e6974b639b681ef0b/video_medium/interpreting-the-results-of-your-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/16107559/17199396/92dbc34c68bf7a5e6974b639b681ef0b/small/interpreting-the-results-of-your-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Interpreting the Results of Your Phosphoproteomics Analysis in  IPA</video:title>
            <video:description>Learn how to view and interpret your Phosphoproteomics Analysis results in IPA. Find out how to understand your Phosphoproteomics Analysis and about the multiple ways of relating the molecules in your dataset to the body of information in the Ingenuity Knowledge Base.&lt;br&gt;&lt;p&gt;Interested in
learning more?&lt;/p&gt;

&lt;p&gt;&lt;span&gt;Click &lt;b&gt;&lt;u&gt;&lt;a href="https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis/?cmpid=BIOX_WEB_BioX_20191605_tv.qiagenbioinformatics_Webinar_BioxBA_Must_Win_1_BIOX"&gt;here&lt;/a&gt;&lt;/u&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;br&gt;</video:description>
            <video:publication_date>2017-05-19T10:49:48+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2450</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>dataset</video:tag>
            <video:tag>Ingenuity Knowledge Base</video:tag>
            <video:tag>ingenuity pathway analysis</video:tag>
            <video:tag>interpret</video:tag>
            <video:tag>IPA</video:tag>
            <video:tag>ipa webinar</video:tag>
            <video:tag>Knowledge Base</video:tag>
            <video:tag>molecule</video:tag>
            <video:tag>Phosphoproteomics Analysis</video:tag>
            <video:tag>results</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/14749887/interpreting-your-comparison-analyses-results-in</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=14749887</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/13968033/14749887/904569bd8d5fe285b2883c5613ed371e/video_medium/interpreting-your-comparison-analyses-results-in-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/13968033/14749887/904569bd8d5fe285b2883c5613ed371e/small/interpreting-your-comparison-analyses-results-in-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Interpreting your comparison analyses results in IPA</video:title>
            <video:description>Learn how to view and interpret your comparison analyses results in IPA and the multiple ways of relating the molecules in your dataset to the body of information in the Ingenuity Knowledge Base. IPA allows you to compare analysis results from multiple experimental groups to identify similarities, differences, and trends. &amp;nbsp;Heatmaps for Canonical Pathways, Upstream Regulators, and Diseases &amp;amp; Functions allow you to easily and quickly view information from your analyses side-by-side. You can also visualize Gene Heatmaps to gain instant insight into specifically how genes affect your results.</video:description>
            <video:publication_date>2016-10-28T11:03:45+00:00</video:publication_date>
            <video:family_friendly>yes</video:family_friendly>
            <video:duration>2330</video:duration>
            <video:category>QIAGEN IPA</video:category>
            <video:tag>gene regulation</video:tag>
            <video:tag>ipa webinar</video:tag>
        </video:video>
    </url>
    <url>
        <loc>https://tv.qiagenbioinformatics.com/video/14473492/part-ii-formatting-and-uploading-1</loc>
        <video:video>
            <video:player_loc allow_embed="yes">https://tv.qiagenbioinformatics.com/v.ihtml/player.html?photo_id=14473492</video:player_loc>
            <video:content_loc>https://tv.qiagenbioinformatics.com/13968029/14473492/79ba41118b358c921a498b16afcf1f38/video_medium/part-ii-formatting-and-uploading-1-video.mp4</video:content_loc>
            <video:thumbnail_loc>https://tv.qiagenbioinformatics.com/13968029/14473492/79ba41118b358c921a498b16afcf1f38/small/part-ii-formatting-and-uploading-1-thumbnail.jpg</video:thumbnail_loc>
            <video:title>Part II: Formatting and Uploading your Data into IPA</video:title>
            <video:description>Learn how to format your own data and how to upload it into IPA. IPA can upload your experimental data to enable you to perform pathways visualization, literature searches on the molecules in the dataset, and to perform the many different types of analyses offered in IPA. In this webinar we will use phosphoproteomics data as an example dataset.&lt;br&gt;&lt;p&gt;Interested in
learning more?&lt;/p&gt;

&lt;p&gt;&lt;span&gt;Click &lt;b&gt;&lt;u&gt;&lt;a href="https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis/?cmpid=BIOX_WEB_BioX_20191605_tv.qiagenbioinformatics_Webinar_BioxBA_Must_Win_1_BIOX"&gt;here&lt;/a&gt;&lt;/u&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;br&gt;</video:description>
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            <video:title>IPA data upload tutorial</video:title>
            <video:description>Presented by Lynne Mullen, Ph. D.&lt;br&gt;</video:description>
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