tv.qiagenbioinformatics.com

Population Genetics in an Era of Genomic Health

Fri, 27 Mar 2026 13:44:42 GMT

Advances in genomic medicine hold enormous promise, but that promise cannot be fully realized without greater diversity in research and clinical application.

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.

In this webinar, attendees will:

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
Explore why inclusivity, methodological innovation and diverse populations are essential to advancing genomic health, improving patient care and promoting health equity

Single-cell RNA-seq, cell hashing and spatial transcriptomics

Thu, 26 Mar 2026 15:36:07 GMT

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.

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:

• Import your raw FASTQ or processed cell-matrix files.

• Use pre-configured but customizable pipelines/workflows for single cell RNA-seq data.

• 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

• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).

• Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.

NGS for GMP compliance: New guidelines, new tools

Mon, 23 Mar 2026 13:16:49 GMT

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.

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.

You will learn

- The impact of current guidelines, including ICH Q5A(R2), FDA 21 CFR Part 11 and European Pharmacopeia Chapter 2.6.41 on biologics production
- Key requirements on data integrity, audit trails, user authentication and more, for setting up GMP environments
- How QIAGEN CLC Genomics Workbench and Server support achieving GMP compliance

From ‘Omics to Insights Part 2: Interpret Your IPA Core Analysis Results

Thu, 19 Mar 2026 21:35:59 GMT

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.

You will learn:

How to predict the activity of enriched pathways, regulators, diseases and more
How to validate your results by comparing with published datasets
How to identify key biological themes in your data with the help of AI summaries

About this series

From ‘Omics to Insights: Data Analysis Fundamentals with IPA

Do you find ‘omics data analysis overwhelming? Good news: it doesn’t have to be.

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.

IPA Interpret: A hands-on workshop

Wed, 18 Mar 2026 08:58:36 GMT

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.

You will learn how to:

- Create an IPA Interpret report that can be easily shared with others
- Gain valuable insight into critical biological pathways, key regulators and more with just a few clicks
- Easily customize charts, such as the highly popular volcano bubble chart, taking advantage of new features introduced with recent updates
- Export both graphical and tabular results

IPA deeper dive miRNA investigation using QIAGEN Ingenuity Pathway Analysis

Mon, 16 Mar 2026 11:17:11 GMT

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.

Topics that will be covered include:

How to analyze miRNA-seq datasets alone or both miRNA and corresponding mRNA datasets together
How to use QIAGEN IPA without a dataset, using miRNA IDs
Introduction to databases and curated content specific to miRNA
How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms

From ‘Omics to Insights Part 1: IPA Dataset Prep and Core Analysis Setup

Fri, 13 Mar 2026 11:16:05 GMT

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.

You will learn:

The IDs, measurement types and formats that IPA supports
How IPA uses your data for statistical tests and prediction scoring
The different types and parameters of a Core Analysis
Best practice tips from our expert

About this series

From ‘Omics to Insights: Data Analysis Fundamentals with IPA

Do you find ‘omics data analysis overwhelming? Good news: it doesn’t have to be.

Hybrid Variant Interpretation: Combining AI + Expert Curation to Streamline...

Wed, 11 Mar 2026 08:24:50 GMT

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.

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.

Key highlights include:

Integrated ACMG-based annotation + automatic literature curation for evidence-backed interpretation
Instant variant matching to quickly identify known, reported, or novel variant
Faster VUS resolution with direct access to relevant publications and functional data
Minimal manual literature search with direct links to HGMD Professional in-platform
Long-read sequencing support for interpreting complex alleles and structural variants

Is it oncogenic? Comparing guidelines and QCI Interpret CDS for cancer...

Fri, 27 Feb 2026 19:01:46 GMT

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.

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.

You will learn:

Understand ClinGen/CGC/VICC standards for variant classification
Learn how these expert-developed guidelines define and standardize somatic cancer variant classification.
Compare software classifications with guideline-based human assessments
See how classifications from the ClinGen/CGC/VICC standards compare with those generated by QCI Interpret.
Best practices to use guidelines and tools together
Discover how to combine expert guidelines with clinical decision support tools for more reliable variant interpretation.

OmicSoft Explorer Hands-on Workshop: Easily search and interpret deeply...

Fri, 27 Feb 2026 15:25:25 GMT

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.

Specifically, the trainer will go over how to:

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
Explore project details to gain a better understanding of the experimental setup and sample metadata
Study volcano plots to identify biomarkers associated with conditions of interest
Generate sharable pathway analysis reports that provide insights into disease pathology, drug mechanism of action, cellular processes and more

*with a premium license.

IPA Interpret and OmicSoft Explorer are now available through both IPA and OmicSoft. Learn more.

Long reads analysis using QIAGEN CLC Genomics Workbench

Thu, 26 Feb 2026 17:50:30 GMT

This webinar will introduce you to the Long Read Support plugin for Oxford Nanopore and PacBio sequencing reads in QIAGEN CLC Genomics Workbench.

Learn how to:

- Download and install needed plugins
- Import data required for the analysis
- Perform long read de novo assembly
- Map reads to a reference and visualize an assembly
- Use BLAST to investigate the contigs
- Use additional long read tools: polish with short reads, structural variant calling
- Use genome finishing tools: analyze and assemble contigs
- Use analytical tools: RNA-seq analysis for long reads, classify long read amplicons for metagenomics

Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN...

Thu, 26 Feb 2026 17:46:53 GMT

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:

- Generate associations among molecular signatures obtained via integrating multi-omics data
- Extract mechanisms from multi-omics data for precision medicine
- Disease stratification based on multi-omics profiles
- Map disease networks among targets and indications

From targets to treatments: Data-driven drug discovery across therapeutic areas

Fri, 20 Feb 2026 09:23:25 GMT

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.

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.

We’ll cover how to:

- Apply the GOT-IT framework to target evaluation and indication expansion
- Uncover causal relationships between existing drugs and new diseases with our curated knowledge graphs
- Make informed decisions based on concrete data, including toxicity, adverse events and competing drugs in clinical trials

Associating metadata with samples in CLC

Mon, 09 Feb 2026 13:13:19 GMT

In this video, we demonstrate the import and association of metadata with sample files.

https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Metadata.html

How to view overlapping genes in a Venn Diagram using the synchronized table...

Mon, 09 Feb 2026 13:09:01 GMT

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.

Introduction to Fork Collections

Mon, 09 Feb 2026 13:00:33 GMT

Starting with CLC version 26, workflow control can be simplified using fork collections.

https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Fork.html#SECTION001425230000000000000

Inflammatory Bowel Disease: Drug Target and Biomarker Investigation using...

Wed, 28 Jan 2026 21:55:09 GMT

In this 90-minute training using Inflammatory Bowel Disease (IBD) public data from NCBI GEO through Omicsoft DiseaseLand, attendees will learn how to:
• Rapidly query and identify public datasets that fit our search criteria
• Discover and validate biomarker expression in disease tissue, different treatments, and response groups
• Identify a list of biomarkers specific to responders vs non-responders
• Confirm condition-specific biomarkers through gene expression heatmaps
• Opportunity for live Q&A

QIAGEN OmicSoft trainings- 3 part series - Oct 21 (part 2)

Wed, 28 Jan 2026 21:54:33 GMT

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.

Day 2: Biomarker discovery with QIAGEN OmicSoft DiseaseLand

Leverage DiseaseLand’s repositories of non-oncological diseases such as cardiovascular, metabolic, neurological, gastrointestinal, liver and more to:

• Discover and validate biomarker expression in diseases, disease subtypes, treatments, cell types, etc.
• Identify a list of biomarkers specifically expressed in disease, treatment group, cell type or other condition of interest
• Overlay expression of a gene on cell clusters of interest from public single-cell data

Single-cell RNA-seq analysis made easy - February 24

Wed, 28 Jan 2026 21:53:39 GMT

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.

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.

Topics covered:
• Introduction to the QIAGEN CLC Genomics Workbench
• Generation of t-SNE and UMAP plots, starting from raw FASTQ read files
• Automated annotation of cell types using QIAGEN’s cell type classifier
• Detection of differentially expressed genes in different cell types in a case vs. control setting

May 2020 IPA-OS UGM - 1.OmicSoft Core Capabilities Training - Features that...

Wed, 28 Jan 2026 21:51:30 GMT

April 1, 2020 - 1 - OmicSoft DiseaseLand Core Capabilities Training - Elodie...

Wed, 28 Jan 2026 21:50:31 GMT

RNA-seq data analysis using QIAGEN CLC Genomics Workbench

Mon, 26 Jan 2026 13:52:53 GMT

For your RNA-seq data, you will learn how to:

• Import FASTQ files, cell matrix files and metadata

• Download and/or import reference and annotations files

• Map reads to a reference genome

• Generate gene and transcript counts

• QC reports displaying % mapped reads etc.

• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, Sankey plot and more

• Easily customize RNA-seq workflows

• Export publication-quality graphics, tables and reports

Per audience request

• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways

Tissue-specific target identification using QIAGEN OmicSoft high-quality...

Fri, 23 Jan 2026 15:45:22 GMT

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.

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:

• Demonstrate how to obtain a disease gene signature of interest.

• Compare the constitutive expression profile of that gene set across different tissues.

• Find tissues with similar expression profiles.

• Generate a hypothesis relating two tissue specific diseases to each other for the purpose of indication expansion.

Advance workflow constructions using the CLC Genomics workbench

Thu, 22 Jan 2026 09:56:38 GMT

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.

• Overview of major workflow system enhancements

• New grouping and branching features for easier design

• Streamlined workflow editor with improved navigation and validation

• Faster, more consistent workflow creation and reuse

• Newly workflow-enabled tools and improved installation flexibility

QIAGEN IPA new user training

Tue, 20 Jan 2026 10:43:58 GMT

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.

You’ll learn to:

• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA

• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more

• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts

• Generate a network for hypothesis generation, even without a dataset or experimental design

Already have an IPA license? Install IPA and start using it now:

https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Learn more about IPA or request a free trial:https://digitalinsights.qiagen.com/ipa

QIAGEN OmicSoft trainings- 3 part series - Oct 20 (part 1)

Fri, 16 Jan 2026 21:45:21 GMT

Day 1: Biomarker discovery with QIAGEN OmicSoft OncoLand

Leverage public oncology data from GEO, TCGA and other collections to:

OmicSoft UGM Fall 2020 - Advanced training by Shawn Prince

Fri, 16 Jan 2026 21:44:45 GMT

In this video, Shawn Prince, Ph.D takes you through the advanced features of QIAGEN OmicSoft with customer use cases

Automating insights: Scalable pathway analysis using the QIAGEN IPA APIs

Fri, 09 Jan 2026 09:43:49 GMT

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.

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.

· Overview of QIAGEN Ingenuity Pathway Analysis

· Learn how to upload datasets, run core analyses and retrieve results programmatically

· Display a Gene View based on a gene ID

· Show the findings that connect two molecules

· Send a set of genes into IPA to automatically create a pathway

Investigating genomic variants using QIAGEN CLC Genomics Workbench, QCI...

Thu, 08 Jan 2026 10:40:11 GMT

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.

In this webinar, attendees will have the opportunity to:

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;

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;

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.

Unlock Biological Insights for Bioengineering using QIAGEN IPA

Fri, 12 Dec 2025 18:25:00 GMT

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.

• Understand how IPA supports transcriptomics, proteomics and metabolomics data interpretation.

• Learn how to identify key regulators, canonical pathways and molecular interactions relevant to bioengineering applications.

• Discover how to predict upstream drivers and downstream effects of gene expression changes.

• See how IPA can guide hypothesis generation and experimental planning.

• Explore real-world applications of IPA in synthetic biology, regenerative medicine and biomaterials development.

Connected discovery: Scaling IPA insights across your organization

Fri, 12 Dec 2025 08:58:57 GMT

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.

Attendees will learn how to:

• 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.

• Streamline collaboration with Collaborative Workspaces (CWS), where team members can automatically access shared results without manual coordination.

• 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.

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.

New user training: Large dataset analysis and knowledge base queries using...

Tue, 09 Dec 2025 21:10:32 GMT

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

QIAGEN IPA deep-dive and new features training, America - Nov 3 2021

Tue, 09 Dec 2025 21:10:03 GMT

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:

Part 1: Deep dive into QIAGEN IPA core and comparison analyses

Part 2: Deeper dive into how to use QIAGEN IPA even without user data

Biomarkers and drug target investigation using manually curated, unified...

Tue, 09 Dec 2025 16:42:51 GMT

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.

• 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

• Conveniently generate charts comparing expression across different conditions of user interest (example disease vs normal, treated vs untreated, responders vs non responders and more)

• Export results in both tabular and graphical formats

From Signature to Strategy: Drug Repurposing and Indication Expansion with...

Mon, 24 Nov 2025 11:37:10 GMT

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.

Learn how to:

• Diagram their current pipeline of drugs, targets and indications using IPA’s network construction and overlay tools

• Introduce a new gene signature and assess its interaction with known targets and pathways

• Query curated real-world datasets from OmicSoft Lands to validate predicted interactions and uncover novel therapeutic opportunities

• Compare gene profiles against disease vs. normal datasets to identify candidates for indication expansion

Join us to see how integrating deeply curated ‘omics data with predictive analytics can transform your drug development strategy.

OmicSoft Explorer Hands-on Workshop: Easily search and interpret deeply...

Mon, 24 Nov 2025 11:34:20 GMT

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.

Specifically, the trainer will go over how to:

• 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

• Explore project details to gain a better understanding of the experimental setup and sample metadata

• Study volcano plots to identify biomarkers associated with conditions of interest

• Generate sharable pathway analysis reports that provide insights into disease pathology, drug mechanism of action, cellular processes and more

*with a premium license.

IPA Interpret and OmicSoft Explorer are now available through both IPA and OmicSoft. Learn more: https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA4Sc00000023mbKAA&categoryName=BioX

Single-cell RNA-seq data interpretation using QIAGEN IPA

Thu, 13 Nov 2025 16:22:19 GMT

In this webinar, the speaker will go over how to:

• Identify critical pathways and networks in your single cell data, giving you insight into biological mechanisms

• Discover novel regulators, master regulators and biomarkers associated with different cell types

• Compare different cell clusters through pathways/networks activity heatmap to understand differences between your cell types or experimental groups

• Generate interactive IPA Interpret reports for sharing and collaboration

• Export high resolution images and tabular results for posters, publications and biopharma reports

‘Omics to Insights: Leveraging QIAGEN IPA for Pre-Clinical Toxicology and...

Thu, 13 Nov 2025 11:31:24 GMT

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.

· Overview of QIAGEN Ingenuity Pathway Analysis

· Find transcriptomic and proteomic data from pre-clinical and clinical studies and gain mechanistic insights using OmicSoft Explorer and Ingenuity Pathway Analysis

· Visualize and interpret complex biological relationships that may be behind toxicity mechanisms using network construction

· Prioritize candidate biomarkers for safety monitoring using biomarker tools and OmicSoft Land Explorer

QIAGEN IPA New User Training

Thu, 13 Nov 2025 09:16:13 GMT

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.

You’ll learn to:

• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA

• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more

• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts

• Generate a network for hypothesis generation, even without a dataset or experimental design

Already have an IPA license? Install IPA and start using it now:

https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Learn more about IPA or request a free trial: https://digitalinsights.qiagen.com/ipa

Single Cell RNA-Seq and Spatial Transcriptomics

Thu, 13 Nov 2025 09:15:18 GMT

In this webinar, the speaker will cover how to simplify your single cell RNA-seq analysis with biologist-friendly point and click tools.

• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries

• Generate dimension reduction (UMAP, t-SNE) plots to understand differences between cell clusters/experimental conditions

• Identify and study clusters and cell types specific biomarkers using differential expression tables, gene expression heat maps, dot plots and violin plots

• Generate desired cell annotations using hashtags

• Visualize and investigate spatial transcriptomics plot using your Cell Ranger output to better understand cellular organization and generate hypothesis

• Use preconfigured but customizable pipelines/workflows for single-cell RNA-seq data

The increasing Accessibility of Cell Therapy, Gene Therapy, and Clinical...

Thu, 06 Nov 2025 17:43:56 GMT

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).

Mapping the Human Body One Cell at a Time

Wed, 05 Nov 2025 16:13:15 GMT

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.

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.

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.

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.

Investigating biomarkers with bulk and single-cell RNA-seq expression data

Wed, 29 Oct 2025 15:55:53 GMT

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.

You'll learn how to:

Generate a Comparison Analysis for bulk and single-cell RNA-seq
Identify significant common genes with the Compare feature
Build a custom network associating common genes to a phenotype
Examine sample- and cell-level expression in OmicSoft content

Deliver Clinical Molecular Insights at Scale with QCI Precision Insights

Tue, 28 Oct 2025 14:27:49 GMT

Cancer care has been transformed by comprehensive molecular profiling and targeted therapies – 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.

That’s why leading labs are turning to QCI Precision Insights (formerly N-of-One), a professional clinical variant interpretation service for molecular oncology:

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.
Real-world clinical impact: Interpretation is supported with FDA drug labels, practice guidelines, clinical trials, and peer-reviewed literature.
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.

Investigate critical biological mechanisms using pathways and knowledge graphs

Mon, 27 Oct 2025 14:07:01 GMT

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.

In this webinar the trainer will

Introduce the QIAGEN Knowledgebase
Demonstrate how the user can take advantage of an easy-to-use graphical interface to study pathways and networks of interest
Show how this database can be accessed programmatically for applications such as knowledge graph investigation

Unveiling COSMIC’s secret: Curating gene and somatic variant data to power...

Fri, 24 Oct 2025 12:53:58 GMT

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

October 15, our COSMIC and QIAGEN field applications experts will walk you through the scientific and curation processes behind CGC. 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.

You will learn about:

• The criteria used to evaluate genes for inclusion into the CGC

• The structured information captured within the CGC and CMC modules

• Their real-world applications across research and clinical contexts

Speaker Info:

Ellen Wiedemann is an Application Scientist at the Welcome Sanger Institute with over a decade of experience in next-generation sequencing (NGS) and bioinformatics.
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.

Single-cell RNA-seq, cell hashing and spatial transcriptomics

Fri, 24 Oct 2025 09:52:45 GMT

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.

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:

Import your raw FASTQ or processed cell-matrix files.
Use pre-configured but customizable pipelines/workflows for single cell RNA-seq data.
Generate high resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries.
- Dimension reduction (UMAP, t-SNE) plots
- Differential expression table for clusters, cell types, or combination of both
- Heat map
- Dot plots
- Violin plots
Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).
Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.

16S/18S/ITS sequencing analysis using CLC Genomics Workbench

Thu, 23 Oct 2025 16:07:15 GMT

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.

This training will be focused on amplicon-based taxonomic profiling (16S/18S/ITS sequencing OTU clustering). The trainer will cover:

Overview of different tools within QIAGEN CLC Microbial Genomics Module and supported research areas
For taxonomic profiling:
- Importing data
- Utilization of metadata
- Downloading and managing references
- Walk through of OTU clustering workflow (analytical pipeline)
- Downstream processing of abundance tables
- Creating and exporting high-quality graphics

Using OmicSoft OncoLand to integrate public expression and somatic mutation...

Thu, 23 Oct 2025 16:05:15 GMT

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.

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:

• View gene expression and somatic mutation frequency across different tumor types and conditions

• Identify genes whose expression correlates or anti-correlates with mutation of your target

• Prioritize your candidate biomarkers using expression data across comparisons (tumor vs. normal, MUT vs. WT, etc.)

• Establish survival consequences from changes in your candidate biomarker’s expression or mutation status

Spatial ‘omics meets network biology: Actionable insights into target and...

Wed, 22 Oct 2025 13:28:33 GMT

Discover actionable drug targets in your spatial transcriptomics data with systems biology and network analysis.

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.

We’ll show you how to:

Identify regions of interest in oral squamous cell carcinoma biopsies
Generate new networks by connecting genes to functional hallmarks of cancer
Predict upstream regulators and activity in a custom network with new causal analysis on the fly features
Test potential drug targets with in-silico experimentation
Overlay data and save custom network patterns of interest for causal scoring in future experiments
Explore other indications and potential treatments with curated, harmonized data

Find out what happens when spatial ‘omics data meets network biology.

QIAGEN IPA new user training

Wed, 22 Oct 2025 13:01:01 GMT

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.

You’ll learn to:

• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA

• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more

• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts

• Generate a network for hypothesis generation, even without a dataset or experimental design

Already have an IPA license? Install IPA and start using it now: https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Learn more about IPA or request a free trial: https://digitalinsights.qiagen.com/ipa

Somatic variant detection with Twist Oncology and QIAGEN CLC

Tue, 07 Oct 2025 12:41:35 GMT

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.

What is the Twist Oncology - DNA CGP Panel?

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).

What is QIAGEN CLC Genomics Workbench?

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.

Batch Mode in CLC

Mon, 06 Oct 2025 15:16:09 GMT

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 for more details:

https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Batch_processing.html

Analyzing Samples with Multiple Inputs in CLC

Mon, 06 Oct 2025 15:14:44 GMT

This video demonstrates how to analyze multiple input files per sample using batch mode. Please also see this FAQ page for more details:

How can I run a batch job with multiple libraries for each sample?

Comparing Analysis Parameters using the History View in CLC

Mon, 06 Oct 2025 15:13:47 GMT

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.

Details about the history view can be found on this manual page:

https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=History_Element_Info_views.html

MyCLC Overview

Mon, 06 Oct 2025 15:13:00 GMT

This video provides a quick introduction to myCLC. If you do not already have access to myCLC Please contact bioinformaticslicense@qiagen.com

Also, check out these FAQ pages:

What is myCLC?

How can I get access to myCLC?

How can I find information about my CLC licenses?

How can I add someone as a technical contact to myCLC?

How can I view information for another myCLC account?

How to Create a Track list in CLC

Mon, 06 Oct 2025 15:12:19 GMT

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.

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:

https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Track_lists.html

Create publication-ready volcano plots for RNA-sq data using CLC genomics...

Mon, 06 Oct 2025 15:11:15 GMT

This video shows how to customize volcano plots in CLC Genomics Workbench. Check out these tutorials for more RNA-seq related topics:

https://digitalinsights.qiagen.com/support/tutorials/#:~:text=Expression%20and%20fusions

QCI Interpret Translational Tutorial

Fri, 03 Oct 2025 19:44:38 GMT

Scale up NGS bioinformatics analysis throughput with QIAGEN CLC Genomics...

Fri, 03 Oct 2025 12:11:29 GMT

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.

You will learn to:

• Customize template workflows to meet your NGS analysis requirements

• Set up a CLC Genomics Cloud environment on AWS

• Submit workflows to run on internal servers or AWS and retrieve results from these analyses

• Use third-party dockers and automate workflow execution

RNA-Seq Data Analysis and Interpretation using QIAGEN CLC Genomics Workbench...

Fri, 03 Oct 2025 09:27:56 GMT

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.

You will learn how to:

• Use CLC to map reads to a reference genome, generate gene/transcript counts and QC reports

• Use CLC to visualize results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams and more

• Use IPA to identify enriched canonical pathways, diseases and biological functions and predicted upstream regulators

• 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

IPA Interpret: A hands-on workshop

Thu, 02 Oct 2025 17:05:24 GMT

You will learn how to:

• Create an IPA Interpret report that can be easily shared with others

• Gain valuable insight into critical biological pathways, key regulators and more with just a few clicks

• Easily customize charts, such as the highly popular volcano bubble chart, taking advantage of new features introduced with recent updates

• Export both graphical and tabular results

Please make sure you can open the following IPA interpret report for this hands-on workshop:

https://analysis.ingenuity.com/ipw/RVy_DS08o_2CDODA-BNBIg

Please feel free to reach out to us if you run into any issues.

Discover Microbial Functional Insights with QIAGEN CLC Genomics Workbench

Thu, 02 Oct 2025 17:04:30 GMT

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.

Whether you are working with experimental or clinical samples, this session will equip you with a robust, scalable pipeline for comparative functional metagenomics.

Learn how to:

• Import and prepare raw NGS data

• Assemble metagenomes into contigs

• Map reads and bin pangenomes by sequence

• Identify genes and coding DNA sequences (CDS)

• Annotate functional elements using Gene Ontology (GO) and Pfam domains

• Build functional profiles to explore diversity

• Visualize and analyze functional differences across sample groups

Fast-track inherited disease insights from your variant data with HGMD Pro

Mon, 29 Sep 2025 22:24:36 GMT

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.

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.

Learn how you can use HGMD Pro to:

• Distinguish clinically significant variants from VUS  

• Use batch search vs. advanced search  

• Curate genes using HGMD Pro’s accurate, up-to-date information  

• Identify the predominant genetic variant in a specific gene to understand the genetic mechanisms underlying associated diseases  

• Answer other variant-related questions

Workflow construction and customization using QIAGEN CLC Genomics Workbench

Fri, 19 Sep 2025 09:38:36 GMT

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

• A quick and brief introduction to CLC Genomics Workbench

• How to construct a workflow

• How to add or remove different steps

• How to customize different parameters

• How to execute the workflow

• (Optional) How to install the workflow

Influenza Virus Typing and Variant Detection Using QIAGEN CLC Genomics Workbench

Tue, 16 Sep 2025 16:08:34 GMT

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.

We’ll show how the workflow:

Automatically determines Influenza virus type and subtype
Outputs annotated consensus sequences with gene and CDS tracks for intuitive visualization
Detects low-frequency variants that may indicate mixed infections
Presents results in a consolidated, interactive track list in both nucleotide and amino acid views

Whether you’re tracking circulating strains or monitoring for emerging variants, this workflow offers a rapid and insightful approach to Influenza virus analysis.

QIAGEN Ingenuity Pathway Analysis (IPA) for grant writing and publications

Mon, 15 Sep 2025 11:16:40 GMT

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.

You'll learn how to:

• Search IPA’s vast collection of curated literature and omics data

• Build your own networks and predict activity changes

• Effectively use new features such as IPA Interpret for collaboration and hypothesis generation

• Explore a library of over 100,000 precomputed IPA analyses pulled from publicly available studies

• Deeply interrogate critical pathways

• Predict regulators causing your observed expression changes

• Contextualize your results by comparing them to internal and public data

• Generate the necessary tables and figures for your manuscript

Gene Fusion Detection Using QIAGEN CLC Genomics Workbench

Mon, 15 Sep 2025 09:58:21 GMT

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.

You will learn:

• How fusion detection algorithms work

• To run the fusion detection template workflow

• To interpret the analysis results

• To annotate fusions with HSMD

• To upload and analyze the fusions with QCI Interpret

IPA deeper dive - miRNA investigation using QIAGEN Ingenuity Pathway Analysis

Fri, 29 Aug 2025 10:00:20 GMT

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.

Explore:

• How to analyze miRNA-seq datasets alone or together with the corresponding mRNA datasets

• How to use QIAGEN IPA without a dataset, using miRNA IDs

• An introduction to databases and curated content specific to miRNA

• How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms

HPV integration site mapping using QIAGEN CLC Genomics Workbench

Fri, 29 Aug 2025 09:21:10 GMT

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.

Key Takeaways:

• End-to-End Automation: Explore how the CLC Genomics Workbench streamlines HPV integration analysis using the VHC and VIS workflows.

• Rapid Analysis: Achieve full sample processing in under 25 minutes with minimal manual input.

• Integrated Visualization Tools: Leverage auto-generated circular plots and genomic breakpoints for clear interpretation of virus-host interactions.

• Reference-Driven Accuracy: Built-in HPV and human genome references enhance precision and reduce runtime.

• Clinical Impact: Identify disrupted and neighboring host genes that may serve as biomarkers or therapeutic targets.

• Accessible & Scalable: Designed for non-programmers, the GUI-based platform supports diverse sample types and study sizes.

Public single-cell expression data made easy with QIAGEN IPA

Mon, 25 Aug 2025 16:04:33 GMT

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.

You'll learn to:

• Easily locate single-cell studies, samples or cell types of interest

• Study pathways and networks pertaining to such projects to explore biological and cellular mechanisms

• Investigate sample- and cell-level gene expression for biomarker investigation

Leveraging QIAGEN OmicSoft for scRNA-Seq in Pharma - Mike Dufault - Sanofi

Mon, 25 Aug 2025 10:47:26 GMT

Novel discoveries utilizing public data through QIAGEN Omicsoft Lands - March...

Mon, 25 Aug 2025 10:46:54 GMT

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.

Supporting Biomarker Discovery One Cell at a Time - Introduction to QIAGEN...

Mon, 25 Aug 2025 10:45:44 GMT

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.
Objectives:
How to analyze scRNA-seq data without a bioinformatician or learning code.
How to leverage automatic cell annotation to streamline your workflow.
How to quickly comb millions of cells to identify

Click here to learn more.

Discovery from public oncological data using QIAGEN Omicsoft OncoLand and...

Mon, 25 Aug 2025 10:45:20 GMT

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.

Specifically, for conditions of interest (diseases, cell lines, treatments etc.), we will discuss how to:
• Identify public studies of interest
• Derive a biomarker/gene signature
• Study expression of a gene or drug target
• Correlate expression of multiple genes and biomarkers
• Visualize a gene signature in the context of a heatmap
• Compare public data with other public data or a user’s own data

Speaker: Sumana Chintalapudi, Ph.D., Field Application Scientist, QIAGEN Digital Insights

Novel discoveries from public single-cell RNA-seq data using QIAGEN OmicSoft...

Mon, 25 Aug 2025 10:44:24 GMT

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.

In this webinar you will learn how to:
• Easily search and locate scRNA-seq projects of interest within QIAGEN OmicSoft Lands
• Determine gene expression signatures associated with cell types of interest
• Easily search and interpret pathway analyses of pre-analyzed single-cell studies within QIAGEN IPA
• Quickly identify and interpret key biological pathways and regulatory networks within QIAGEN IPA
• Compare the biological findings for a cell type to other single-cell and bulk gene expression studies
• Export results in graphical and tabular formats of interest

Expression data analysis using QIAGEN Omicsoft Studio - Sep 28 2021

Mon, 25 Aug 2025 10:44:01 GMT

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

Drug treatment, toxicology and target safety assessment using QIAGEN...

Mon, 25 Aug 2025 10:43:25 GMT

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.

Using public data from GTEx (normal tissue), GEO, cancer collections and more, attendees will learn how to use Omicsoft Lands to:
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more
• Correlate expression of 2 or more genes
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more

Using findings from peer-reviewed publications and other sources, attendees will learn how to use QIAGEN IPA to:
• Investigate the impact of targeting a gene/protein on different toxicological and biological functions
• Derive tox findings for a gene of interest from QIAGEN IPA’s knowledgebase
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries

Drug Target and Biomarker Investigation using OmicSoft OncoLand

Mon, 25 Aug 2025 10:43:04 GMT

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.

Key focus will be on Biomarker discovery with QIAGEN OmicSoft OncoLand leveraging public oncology data from GEO, TCGA and other collections to:

This training is designed for biologists, bioinformaticians, and data scientists.

Checkpoint inhibitors investigation in context of biomarkers, drug targets...

Mon, 25 Aug 2025 10:42:38 GMT

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.

In this training, you will learn how to:
· Investigate the expression of a gene/biomarker/drug target across different treatments and diseases
· Derive a biomarker/gene signature from a specific condition (for example, non-responders of a drug, a specific disease/disease subtype and more)
· Correlate expression of multiple genes and biomarkers
· Compare different experimental groups (user and/or public data) at both gene expression and pathways/regulatory networks activity levels

Public single cell RNA-seq data investigation using Omicsoft and Ingenuity...

Mon, 25 Aug 2025 10:42:08 GMT

Slides from this training:
https://qiagen.showpad.com/share/qm9IZA718x6x5h6pfsiTa

Single cell lands tutorials: https://omicsoftdocs.github.io/ArraySuiteDoc/tutorials/SingleCellLand/Gene_Views/

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.

In this training, attendees will learn how to

· Locate public single cell studies of their interest using Omicsoft Single Cell Lands

· Study different cell types by dimension reduction plots (example t-SNE, UMAP)

· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)

· Identify key pathways and regulators from scRNA-seq data using Ingenuity Pathway Analysis

Investigating public scRNA data using OmicSoft and QIAGEN IPA

Mon, 25 Aug 2025 10:41:38 GMT

In this training, attendees will learn how to

· Locate public single cell studies of their interest using Omicsoft Single Cell Lands

· Study different cell types by dimension reduction plots (example t-SNE, UMAP)

· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)

· Identify key pathways and regulators from scRNA-seq data using Ingenuity Pathway Analysis

Authenticated and reproducible cell line 'omics data

Mon, 25 Aug 2025 10:41:12 GMT

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?

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.

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.

Attend our joint webinar with ATCC to learn about and explore ATCC Cell Line Land, including:

The key limitations of public cell line data that drove its development
How we curate our data in the QIAGEN OmicSoft Lands framework
Why you can depend on the provenance of the data
The different types of 'omics data and metadata available
How it empowers you to plan and design your preclinical experiments more precisely
How to identify specific cell lines that express your gene of interest and those that don't
How to validate specific mutations from the literature

Who should attend? Biologists, preclinical researchers, bioinformaticians, data scientists

Click here to learn how.

Drug treatment, toxicology and target safety assessment using QIAGEN IPA and...

Mon, 25 Aug 2025 10:40:29 GMT

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.
Using public data from GTEx (normal tissue), GEO, cancer collections and more, you’ll learn how to use Omicsoft Lands to:
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more
• Correlate expression of two or more genes
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more

Using findings from peer-reviewed publications and other sources, attendees we’ll explore with you how to use QIAGEN IPA to:
• Study the impact of targeting a gene/protein on different toxicological and biological functions
• Derive tox findings for a gene of interest from QIAGEN IPA’s knowledgebase
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries

How to triage drug targets with curated, causal relationships data

Wed, 20 Aug 2025 22:19:43 GMT

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:

• Aggregate relevant findings across our comprehensive disease and gene ontologies

• Cross-reference clinical trial results to focus your research on genes upstream or downstream of known drug targets

• Filter causal relationships by the directionality of observed effects

• Combine the above methods to accelerate the drug discovery process

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.

The Forefront of Genomics Eric Green on Making Genomic Medicine a Reality

Wed, 20 Aug 2025 15:59:38 GMT

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.

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.

In this webinar, Eric Green, former director of the National Human Genome Research Institute at NIH, 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.

Speaker: Eric Green, MD, PhD

Former Director, National Human Genome Research Institute, National Institutes of Health

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.

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.

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.

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.

Shared Pathways, Many Origins: How Diverse Genetic Risk Targets Share...

Wed, 20 Aug 2025 15:57:37 GMT

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.

Speaker: Dan Geschwind, MD, PhD

Gordon and Virginia MacDonald Distinguished Professor of Neurology, Psychiatry and Human Genetics

Senior Associate Dean and Associate Vice Chancellor of Precision Health, Institute for Precision Health (IPH)

University of California Los Angeles (UCLA)

IPA Webinar: Part 3: Search and Explore in IPA

Tue, 19 Aug 2025 10:17:49 GMT

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.

Part 3: Search and Explore in IPA

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.

Interested in learning more or trying IPA? Click here.

IPA Webinar: Part 1: Introduction to Ingenuity Pathway Analysis

Tue, 19 Aug 2025 10:17:07 GMT

Learn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!

Part 1: Introduction to the IPA Core Analysis

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:

Uncover signaling and metabolic canonical pathways enriched in your data
Predict activation or inhibition of upstream regulators
Identify biological functions and diseases that are predicted to be increasing or decreasing
Generate causal hypotheses
Build networks describing potential molecular interactions of your dataset molecules
Compare your analyses to thousands of analyses created from public datasets

Interested in learning more or trying IPA? Click here.

Biomarkers and drug target investigation using manually curated, unified...

Mon, 18 Aug 2025 23:04:19 GMT

• 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

• Conveniently generate charts comparing expression across different conditions of user interest (example disease vs normal, treated vs untreated, responders vs non responders and more)

• Export results in both tabular and graphical formats

Summer 2025 IPA Interpret and OmicSoft Explorer Enhancements

Mon, 18 Aug 2025 22:47:50 GMT

Join us to review exciting new features in IPA Interpret and OmicSoft Explorer.

We will walk though the latest enhancements in IPA Interpret like:

• Bubble charts for various analysis results

• Customizing charts

• More context for Graphical Summary results

• Explore matching and anti-matching datasets easily with more details

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.

QIAGEN IPA new user training

Tue, 12 Aug 2025 22:47:00 GMT

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.

You’ll learn to:

• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA

• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more

• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts

• Generate a network for hypothesis generation, even without a dataset or experimental design

Already have an IPA license? Install IPA and start using it now:

https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Learn more about IPA or request a free trial: https://digitalinsights.qiagen.com/ipa

IPA deeper dive - Making the most out of core expression analysis

Tue, 12 Aug 2025 22:45:39 GMT

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.

Answer questions such as:

• What are the different result types produced by an IPA core analysis?

• How can we identify key regulators and relevant regulatory networks?

• What are the biomarkers and genes associated with diseases and biological processes of interest?

• Can IPA help generate novel directional (regulator effects) and non-directional (interaction) networks from a user’s dataset?

Come with your questions, and we'll address them during the webinar.

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.

https://qiagen.showpad.com/share/SQjinvdxIs1iGhL8H3eOd

Slide#4 = how to download the example dataset

Slide#20 -25 = review recommended dataset formats

Slide#53 onwards = step-by-step how to upload the dataset and perform analysis

o Install IPA: https://qiagen.showpad.com/share/A0mV7EWcejBtXPJUesbXd

o IPA beginner training recording:

https://qiagen.showpad.com/share/Dcdg28jxw0D2uRpgRqFK4

Accelerating biomarker signature discovery for rare diseases using curated...

Tue, 12 Aug 2025 22:44:11 GMT

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.

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.

You will learn how to:

• Explore and query neurodegenerative disease datasets in QIAGEN OmicSoft Lands using SQL and Python

• Automate pathway and regulator analysis in IPA using Python and R APIs

• Scale and produce analyses across multiple cohorts

RNA-seq data analysis using QIAGEN CLC Genomics Workbench

Tue, 12 Aug 2025 16:52:27 GMT

For your RNA-seq data, you will learn how to:

• Import FASTQ files, cell matrix files and metadata

• Download and/or import reference and annotations files

• Map reads to a reference genome

• Generate gene and transcript counts

• QC reports displaying % mapped reads etc.

• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, Sankey plot and more

• Easily customize RNA-seq workflows

• Export publication-quality graphics, tables and reports

Per audience request

• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways

IPA Interpret graphical summary

Mon, 11 Aug 2025 12:07:01 GMT

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.

IPA Interpret bubble charts

Mon, 11 Aug 2025 12:06:45 GMT

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.

IPA Interpret bar charts

Mon, 11 Aug 2025 12:06:21 GMT

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.

Adding users to your QDI license

Thu, 07 Aug 2025 08:04:56 GMT

Learn how to add users to your QIAGEN Digital Insights (QDI) license through the QDI Admin Tool (QDIAT).

Gene therapy applications through knowledge graph explorations

Fri, 18 Jul 2025 17:46:34 GMT

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.

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.

You will learn:

• About Biomedical KB-AI and its structure

• How to easily search and filter results for the vector system of interest through a subgraph

• How to thoroughly interrogate the subgraph to look for similarity between diseases and targets that can be targeted by vectors of interest

• How to effectively use a knowledge graph for drug repurposing applications