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            <title>Leveraging the power of API-based omics (RNA-seq, proteomics and more)...</title>
            <link>http://tv.qiagenbioinformatics.com/photo/101070251/leveraging-the-power-of-api-based</link>
            <description>&lt;p&gt;There is a strong interest in the scientific community to use public (GEO, SRA, TCGA, LINCS, etc.) omics (RNA-seq, scRNA-seq, microarray, proteomics, etc.) data for a variety of discoveries. This webinar, aimed at data scientists, bioinformaticians and similar roles in biopharma and academia, explores a comprehensive way of accessing and analyzing high-quality, expertly curated omics data via the QIAGEN OmicSoft APIs. These OmicSoft APIs provide a powerful and flexible platform for discovering, retrieving, filtering, analyzing and visualizing multi-omic data. You can learn how to access the OmicSoft APIs and programmatically leverage extensive metadata to perform custom analyses and identify targets of interest.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Topics to be covered in this webinar:&lt;/p&gt;
&lt;p&gt;• Leveraging curated metadata to structure queries (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)&lt;br&gt;
• Finding multiple samples with the same metadata and creating cohorts&lt;br&gt;
• Identifying expression and correlation&lt;br&gt;
• Performing gene set enrichment analysis&lt;br&gt;
• Testing cell specificity with custom aggregation&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/101070251/leveraging-the-power-of-api-based"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968576/101070251/a4ff75936a0287722b5ec12b972f57a8/standard/download-9-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Thu, 16 May 2024 13:58:00 GMT</pubDate>
            <media:title>Leveraging the power of API-based omics (RNA-seq, proteomics and more)...</media:title>
            <itunes:summary>There is a strong interest in the scientific community to use public (GEO, SRA, TCGA, LINCS, etc.) omics (RNA-seq, scRNA-seq, microarray, proteomics, etc.) data for a variety of discoveries. This webinar, aimed at data scientists, bioinformaticians and similar roles in biopharma and academia, explores a comprehensive way of accessing and analyzing high-quality, expertly curated omics data via the QIAGEN OmicSoft APIs. These OmicSoft APIs provide a powerful and flexible platform for discovering, retrieving, filtering, analyzing and visualizing multi-omic data. You can learn how to access the OmicSoft APIs and programmatically leverage extensive metadata to perform custom analyses and identify targets of interest.
Topics to be covered in this webinar:
• Leveraging curated metadata to structure queries (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)
• Finding multiple samples with the same metadata and creating cohorts
• Identifying expression and correlation
• Performing gene set enrichment analysis
• Testing cell specificity with custom aggregation</itunes:summary>
            <itunes:subtitle>There is a strong interest in the scientific community to use public (GEO, SRA, TCGA, LINCS, etc.) omics (RNA-seq, scRNA-seq, microarray, proteomics, etc.) data for a variety of discoveries. This webinar, aimed at data scientists,...</itunes:subtitle>
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            <itunes:duration>58:58</itunes:duration>
            <media:description type="html">&lt;p&gt;There is a strong interest in the scientific community to use public (GEO, SRA, TCGA, LINCS, etc.) omics (RNA-seq, scRNA-seq, microarray, proteomics, etc.) data for a variety of discoveries. This webinar, aimed at data scientists, bioinformaticians and similar roles in biopharma and academia, explores a comprehensive way of accessing and analyzing high-quality, expertly curated omics data via the QIAGEN OmicSoft APIs. These OmicSoft APIs provide a powerful and flexible platform for discovering, retrieving, filtering, analyzing and visualizing multi-omic data. You can learn how to access the OmicSoft APIs and programmatically leverage extensive metadata to perform custom analyses and identify targets of interest.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;Topics to be covered in this webinar:&lt;/p&gt;
&lt;p&gt;• Leveraging curated metadata to structure queries (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)&lt;br&gt;
• Finding multiple samples with the same metadata and creating cohorts&lt;br&gt;
• Identifying expression and correlation&lt;br&gt;
• Performing gene set enrichment analysis&lt;br&gt;
• Testing cell specificity with custom aggregation&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/101070251/leveraging-the-power-of-api-based"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968576/101070251/a4ff75936a0287722b5ec12b972f57a8/standard/download-9-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>omicsoft</category>
            <category>omicsoft API</category>
            <category>omicsoft webinar</category>
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            <title>Integrating deeply curated omics data with APIs for biomarkers and...</title>
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            <description>&lt;p&gt;If you’re a data scientist or bioinformatician working in biopharma and need extensive high-quality ‘omics data for your projects in target discovery, this training is for you. You’ll learn how to programmatically discover, retrieve, filter, aggregate and analyze ‘omics data from our extensive repositories of deeply-curated multi-omics data. You’ll learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures and perform custom analyses to reveal patterns relevant to disease.&lt;br&gt;
Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions.
&lt;p&gt;In this training, you’ll learn how to:&lt;br&gt;
• Search for gene signatures to find datasets (e.g., gene set analysis to find matches of various related comparisons, where the result is a list of comparisons with Contrast names)&lt;br&gt;
• Plot correlation of results (e.g., where the result is a scatter plot between dataset comparisons)&lt;br&gt;
• Find multiple datasets with the same metadata (e.g., based on comparisons, you can define key metadata, then pull a bunch of datasets, and the result is a large table)&lt;br&gt;
• Perform a meta-analysis (e.g., based on datasets, do a Wilcoxon non-parametric test, where the result is Volcano plot and list)&lt;br&gt;
• Test cell specificity with custom aggregation (e.g., for hundreds of genes, calculate the % expressing, and aggregate across studies and by CellTypeGroup, where the result is a heatmap)&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/88795845/integrating-deeply-curated-omics"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968558/88795845/0b1e94aaaa352a579e4ba8d1c838942b/standard/download-9-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Tue, 19 Sep 2023 17:54:50 GMT</pubDate>
            <media:title>Integrating deeply curated omics data with APIs for biomarkers and...</media:title>
            <itunes:summary>If you’re a data scientist or bioinformatician working in biopharma and need extensive high-quality ‘omics data for your projects in target discovery, this training is for you. You’ll learn how to programmatically discover, retrieve, filter, aggregate and analyze ‘omics data from our extensive repositories of deeply-curated multi-omics data. You’ll learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures and perform custom analyses to reveal patterns relevant to disease.
Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions.
In this training, you’ll learn how to:
• Search for gene signatures to find datasets (e.g., gene set analysis to find matches of various related comparisons, where the result is a list of comparisons with Contrast names)
• Plot correlation of results (e.g., where the result is a scatter plot between dataset comparisons)
• Find multiple datasets with the same metadata (e.g., based on comparisons, you can define key metadata, then pull a bunch of datasets, and the result is a large table)
• Perform a meta-analysis (e.g., based on datasets, do a Wilcoxon non-parametric test, where the result is Volcano plot and list)
• Test cell specificity with custom aggregation (e.g., for hundreds of genes, calculate the % expressing, and aggregate across studies and by CellTypeGroup, where the result is a heatmap)</itunes:summary>
            <itunes:subtitle>If you’re a data scientist or bioinformatician working in biopharma and need extensive high-quality ‘omics data for your projects in target discovery, this training is for you. You’ll learn how to programmatically discover, retrieve, filter,...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>58:33</itunes:duration>
            <media:description type="html">&lt;p&gt;If you’re a data scientist or bioinformatician working in biopharma and need extensive high-quality ‘omics data for your projects in target discovery, this training is for you. You’ll learn how to programmatically discover, retrieve, filter, aggregate and analyze ‘omics data from our extensive repositories of deeply-curated multi-omics data. You’ll learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures and perform custom analyses to reveal patterns relevant to disease.&lt;br&gt;
Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions.
&lt;p&gt;In this training, you’ll learn how to:&lt;br&gt;
• Search for gene signatures to find datasets (e.g., gene set analysis to find matches of various related comparisons, where the result is a list of comparisons with Contrast names)&lt;br&gt;
• Plot correlation of results (e.g., where the result is a scatter plot between dataset comparisons)&lt;br&gt;
• Find multiple datasets with the same metadata (e.g., based on comparisons, you can define key metadata, then pull a bunch of datasets, and the result is a large table)&lt;br&gt;
• Perform a meta-analysis (e.g., based on datasets, do a Wilcoxon non-parametric test, where the result is Volcano plot and list)&lt;br&gt;
• Test cell specificity with custom aggregation (e.g., for hundreds of genes, calculate the % expressing, and aggregate across studies and by CellTypeGroup, where the result is a heatmap)&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/88795845/integrating-deeply-curated-omics"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968558/88795845/0b1e94aaaa352a579e4ba8d1c838942b/standard/download-9-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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