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            <enclosure url="http://tv.qiagenbioinformatics.com/49543317/57594534/f80584fffc03740c0a89e3014e215af7/video_medium/ipa-webinar-part-1-introduction-to-video.mp4?source=podcast" type="video/mp4" length="130396580"/>
            <title>IPA Webinar: Part 1: Introduction to Ingenuity Pathway Analysis</title>
            <link>http://tv.qiagenbioinformatics.com/photo/57594534/ipa-webinar-part-1-introduction-to</link>
            <description>&lt;p&gt;&lt;p&gt;Learn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!&lt;br&gt;&lt;/p&gt;&lt;p&gt;IPA has broadly been adopted by the life science research
community and is cited in thousands of articles for the analysis, integration,
and interpretation of data derived from ‘omics experiments, such as RNA-seq,
small RNA-seq, microarrays including miRNA and SNP, metabolomics, proteomics,
and small scale experiments. Hosted by two QIAGEN Senior Scientists, this
series will show you step-by-step how to implement and use IPA to get the most
out of your data.&lt;/p&gt;

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

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

&lt;ul&gt;
 &lt;li&gt;Uncover
     signaling and metabolic canonical pathways enriched in your data&lt;/li&gt;
 &lt;li&gt;Predict
     activation or inhibition of upstream regulators&lt;/li&gt;
 &lt;li&gt;Identify
     biological functions and diseases that are predicted to be increasing or
     decreasing&lt;/li&gt;
 &lt;li&gt;Generate
     causal hypotheses&lt;/li&gt;
 &lt;li&gt;Build
     networks describing potential molecular interactions of your dataset
     molecules&lt;/li&gt;
 &lt;li&gt;Compare
     your analyses to thousands of analyses created from public datasets&lt;/li&gt;
&lt;/ul&gt;Interested in learning more or trying IPA? Click&amp;nbsp;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/"&gt;here&lt;/a&gt;.&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/57594534/ipa-webinar-part-1-introduction-to"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/49543317/57594534/f80584fffc03740c0a89e3014e215af7/standard/download-15-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Tue, 19 Aug 2025 10:17:07 GMT</pubDate>
            <media:title>IPA Webinar: Part 1: Introduction to Ingenuity Pathway Analysis</media:title>
            <itunes:summary>Learn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!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 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? Clickhere.</itunes:summary>
            <itunes:subtitle>Learn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!IPA has broadly been adopted by the life science research
community and is cited in thousands of...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>43:11</itunes:duration>
            <media:description type="html">&lt;p&gt;&lt;p&gt;Learn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!&lt;br&gt;&lt;/p&gt;&lt;p&gt;IPA has broadly been adopted by the life science research
community and is cited in thousands of articles for the analysis, integration,
and interpretation of data derived from ‘omics experiments, such as RNA-seq,
small RNA-seq, microarrays including miRNA and SNP, metabolomics, proteomics,
and small scale experiments. Hosted by two QIAGEN Senior Scientists, this
series will show you step-by-step how to implement and use IPA to get the most
out of your data.&lt;/p&gt;

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

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

&lt;ul&gt;
 &lt;li&gt;Uncover
     signaling and metabolic canonical pathways enriched in your data&lt;/li&gt;
 &lt;li&gt;Predict
     activation or inhibition of upstream regulators&lt;/li&gt;
 &lt;li&gt;Identify
     biological functions and diseases that are predicted to be increasing or
     decreasing&lt;/li&gt;
 &lt;li&gt;Generate
     causal hypotheses&lt;/li&gt;
 &lt;li&gt;Build
     networks describing potential molecular interactions of your dataset
     molecules&lt;/li&gt;
 &lt;li&gt;Compare
     your analyses to thousands of analyses created from public datasets&lt;/li&gt;
&lt;/ul&gt;Interested in learning more or trying IPA? Click&amp;nbsp;&lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/"&gt;here&lt;/a&gt;.&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/57594534/ipa-webinar-part-1-introduction-to"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/49543317/57594534/f80584fffc03740c0a89e3014e215af7/standard/download-15-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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