tv.qiagenbioinformatics.com marketingbiox@qiagen.com https://tv.qiagenbioinformatics.com Watch tutorials, interviews and much more on our web based TV channel! en-us Visualplatform http://blogs.law.harvard.edu/tech/rss tv.qiagenbioinformatics.com CLC bio TV Watch tutorials, interviews and much more on our web based TV channel! clc bio tv, bioinformatics, genomics, research episodic no https://tv.qiagenbioinformatics.com/files/rv0.0/sitelogo.gif https://tv.qiagenbioinformatics.com http://tv.qiagenbioinformatics.com/photo/59979586/qiagen-clc-genomics-workbench-20-2 <p>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:<br> • One-click solutions and expert tools for NGS data analysis<br> • Working with reads from various platforms (Illumina, IonTorrent, Oxford Nanopore, Pacific Biosciences, BGI/MGI)<br> • Tailored solutions for RNA-seq, DNA-seq and methylation<br> • Efficient algorithms for read trimming, mapping, de novo assembly and variant calling<br> • Effective management of reference data<br> • Scalable processing of many samples, with advanced workflow and reporting capabilities<br> • Easy installation on Windows, Mac and Linux<br><br><p>Interested in learning more?</p><p><b>Click&nbsp;</b><b><u><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">here</a></u></b></p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/59979586/qiagen-clc-genomics-workbench-20-2"><img src="http://tv.qiagenbioinformatics.com/49543314/59979586/8b3e66765e2e33a727d4ee57792d20f8/standard/download-3-thumbnail.jpg" width="600" height="375"/></a></p> http://tv.qiagenbioinformatics.com/photo/59979586 Thu, 10 Jul 2025 15:51:32 GMT QIAGEN CLC Genomics Workbench 20 – scalable desktop software for NGS data... 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: • One-click solutions and expert tools for NGS data analysis • Working with reads from various platforms (Illumina, IonTorrent, Oxford Nanopore, Pacific Biosciences, BGI/MGI) • Tailored solutions for RNA-seq, DNA-seq and methylation • Efficient algorithms for read trimming, mapping, de novo assembly and variant calling • Effective management of reference data • Scalable processing of many samples, with advanced workflow and reporting capabilities • Easy installation on Windows, Mac and LinuxInterested in learning more?Clickhere 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: • One-click solutions and expert tools for NGS... tv.qiagenbioinformatics.com 53:47 <p>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:<br> • One-click solutions and expert tools for NGS data analysis<br> • Working with reads from various platforms (Illumina, IonTorrent, Oxford Nanopore, Pacific Biosciences, BGI/MGI)<br> • Tailored solutions for RNA-seq, DNA-seq and methylation<br> • Efficient algorithms for read trimming, mapping, de novo assembly and variant calling<br> • Effective management of reference data<br> • Scalable processing of many samples, with advanced workflow and reporting capabilities<br> • Easy installation on Windows, Mac and Linux<br><br><p>Interested in learning more?</p><p><b>Click&nbsp;</b><b><u><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">here</a></u></b></p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/59979586/qiagen-clc-genomics-workbench-20-2"><img src="http://tv.qiagenbioinformatics.com/49543314/59979586/8b3e66765e2e33a727d4ee57792d20f8/standard/download-3-thumbnail.jpg" width="600" height="375"/></a></p> clc clc genomics workbench tutorial clc webinar discovery gene regulation genomics workbench webinar http://tv.qiagenbioinformatics.com/photo/14749887/interpreting-your-comparison-analyses-results-in <p>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. &nbsp;Heatmaps for Canonical Pathways, Upstream Regulators, and Diseases &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.</p><p><a href="http://tv.qiagenbioinformatics.com/photo/14749887/interpreting-your-comparison-analyses-results-in"><img src="http://tv.qiagenbioinformatics.com/13968033/14749887/904569bd8d5fe285b2883c5613ed371e/standard/download-2-thumbnail.jpg" width="600" height="338"/></a></p> http://tv.qiagenbioinformatics.com/photo/14749887 Mon, 30 Jun 2025 13:40:21 GMT Interpreting your comparison analyses results in IPA 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. Heatmaps for Canonical Pathways, Upstream Regulators, and Diseases 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. 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... tv.qiagenbioinformatics.com 38:50 <p>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. &nbsp;Heatmaps for Canonical Pathways, Upstream Regulators, and Diseases &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.</p><p><a href="http://tv.qiagenbioinformatics.com/photo/14749887/interpreting-your-comparison-analyses-results-in"><img src="http://tv.qiagenbioinformatics.com/13968033/14749887/904569bd8d5fe285b2883c5613ed371e/standard/download-2-thumbnail.jpg" width="600" height="338"/></a></p> gene regulation ipa webinar http://tv.qiagenbioinformatics.com/photo/87767940/interpreting-genetic-risk-loci-from <p>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. <p>You'll learn how to:<br> • Upload and perform a core analysis on a list of GWAS risk loci<br> • Investigate pathways and regulatory networks to understand biological mechanisms<br> • Compare enrichment between risk loci analysis to identify biological similarities and difference<br> • Identify commonalities and differences between risk loci list<br> • Generate a custom network and contextualize it using public data<br> • Export high-resolution images and comprehensive tabular results in preferred formats</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/87767940/interpreting-genetic-risk-loci-from"><img src="http://tv.qiagenbioinformatics.com/64968576/87767940/f26430bbb986079d4d97743436574558/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> http://tv.qiagenbioinformatics.com/photo/87767940 Wed, 16 Aug 2023 14:00:59 GMT Interpreting genetic risk loci from GWAS in the context of key genes and... 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. You'll learn how to: • Upload and perform a core analysis on a list of GWAS risk loci • Investigate pathways and regulatory networks to understand biological mechanisms • Compare enrichment between risk loci analysis to identify biological similarities and difference • Identify commonalities and differences between risk loci list • Generate a custom network and contextualize it using public data • Export high-resolution images and comprehensive tabular results in preferred formats 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... tv.qiagenbioinformatics.com 01:32:42 <p>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. <p>You'll learn how to:<br> • Upload and perform a core analysis on a list of GWAS risk loci<br> • Investigate pathways and regulatory networks to understand biological mechanisms<br> • Compare enrichment between risk loci analysis to identify biological similarities and difference<br> • Identify commonalities and differences between risk loci list<br> • Generate a custom network and contextualize it using public data<br> • Export high-resolution images and comprehensive tabular results in preferred formats</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/87767940/interpreting-genetic-risk-loci-from"><img src="http://tv.qiagenbioinformatics.com/64968576/87767940/f26430bbb986079d4d97743436574558/standard/download-6-thumbnail.jpg" width="75" height=""/></a></p> biomarker gene regulation gwas