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/81462653/authenticated-and-reproducible-cell <p>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? <p>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.</p> <p>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.</p> <p>Attend our joint webinar with ATCC to learn about and explore ATCC Cell Line Land, including:</p> <p>The key limitations of public cell line data that drove its development<br> How we curate our data in the QIAGEN OmicSoft Lands framework<br> Why you can depend on the provenance of the data<br> The different types of 'omics data and metadata available<br> How it empowers you to plan and design your preclinical experiments more precisely<br> How to identify specific cell lines that express your gene of interest and those that don't<br> How to validate specific mutations from the literature</p> <p>Who should attend? Biologists, preclinical researchers, bioinformaticians, data scientists</p> <p>Click here to learn how.</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/81462653/authenticated-and-reproducible-cell"><img src="http://tv.qiagenbioinformatics.com/64968567/81462653/9930c353a257206e74f70cafb288587c/standard/download-9-thumbnail.jpg" width="75" height=""/></a></p> http://tv.qiagenbioinformatics.com/photo/81462653 Mon, 25 Aug 2025 10:41:12 GMT Authenticated and reproducible cell line 'omics data 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. 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... tv.qiagenbioinformatics.com 40:34 <p>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? <p>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.</p> <p>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.</p> <p>Attend our joint webinar with ATCC to learn about and explore ATCC Cell Line Land, including:</p> <p>The key limitations of public cell line data that drove its development<br> How we curate our data in the QIAGEN OmicSoft Lands framework<br> Why you can depend on the provenance of the data<br> The different types of 'omics data and metadata available<br> How it empowers you to plan and design your preclinical experiments more precisely<br> How to identify specific cell lines that express your gene of interest and those that don't<br> How to validate specific mutations from the literature</p> <p>Who should attend? Biologists, preclinical researchers, bioinformaticians, data scientists</p> <p>Click here to learn how.</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/81462653/authenticated-and-reproducible-cell"><img src="http://tv.qiagenbioinformatics.com/64968567/81462653/9930c353a257206e74f70cafb288587c/standard/download-9-thumbnail.jpg" width="75" height=""/></a></p> atcc atcc cell line land omicsoft omicsoft webinar http://tv.qiagenbioinformatics.com/photo/95805450/atcc-cell-line-data-utilization-for <p>Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery. <p>During this 90-minute discussion, we'll explore how you can use these software tools to:<br> • Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research and more<br> • Examine various 'omics data for genes of interest for expression, mutation, hotspots and gene dependency data<br> • Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to the drug target identification<br> • Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)<br> • Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks</p> <p>Our system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/95805450/atcc-cell-line-data-utilization-for"><img src="http://tv.qiagenbioinformatics.com/64968576/95805450/1781462fc244e62dc570b63e81b73600/standard/download-12-thumbnail.jpg" width="75" height=""/></a></p> http://tv.qiagenbioinformatics.com/photo/95805450 Thu, 14 Mar 2024 15:00:00 GMT ATCC cell line data utilization for cell line selection, validation and other... Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery. During this 90-minute discussion, we'll explore how you can use these software tools to: • Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research and more • Examine various 'omics data for genes of interest for expression, mutation, hotspots and gene dependency data • Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to the drug target identification • Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS) • Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks Our system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more. Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this... tv.qiagenbioinformatics.com 01:29:48 <p>Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery. <p>During this 90-minute discussion, we'll explore how you can use these software tools to:<br> • Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research and more<br> • Examine various 'omics data for genes of interest for expression, mutation, hotspots and gene dependency data<br> • Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to the drug target identification<br> • Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)<br> • Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks</p> <p>Our system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.</p></p><p><a href="http://tv.qiagenbioinformatics.com/photo/95805450/atcc-cell-line-data-utilization-for"><img src="http://tv.qiagenbioinformatics.com/64968576/95805450/1781462fc244e62dc570b63e81b73600/standard/download-12-thumbnail.jpg" width="75" height=""/></a></p> atcc cell line land omicsoft webinar