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            <itunes:name>tv.qiagenbioinformatics.com</itunes:name>
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        <title>tv.qiagenbioinformatics.com</title>
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        <description>Watch tutorials, interviews and much more on our web based TV channel!</description>
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        <itunes:subtitle>CLC bio TV</itunes:subtitle>
        <itunes:summary>Watch tutorials, interviews and much more on our web based TV channel!</itunes:summary>
        <itunes:keywords>clc bio tv, bioinformatics, genomics, research</itunes:keywords>
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            <title>MyCLC Overview</title>
            <link>http://tv.qiagenbioinformatics.com/photo/117124258/myclc-overview</link>
            <description>&lt;p&gt;&lt;p&gt;This video provides a quick introduction to myCLC. If you do not already have access to myCLC Please contact &lt;a target="_blank" rel="noopener noreferrer nofollow" href="mailto:bioinformaticslicense@qiagen.com"&gt;&lt;strong&gt;bioinformaticslicense@qiagen.com&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Also, check out these FAQ pages:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5oJCAS&amp;amp;categoryName=CLC_Software"&gt;What is myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5o1CAC&amp;amp;categoryName=CLC_Software"&gt;How can I get access to myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L64eCAC&amp;amp;categoryName=CLC_Software"&gt;How can I find information about my CLC licenses?&lt;/a&gt;&amp;nbsp; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5oOCAS&amp;amp;categoryName=CLC_Software"&gt;How can I add someone as a technical contact to myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5o4CAC&amp;amp;categoryName=CLC_Software"&gt;How can I view information for another myCLC account?&lt;/a&gt;&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/117124258/myclc-overview"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968566/117124258/7de71ce06c3eaf891ef14218a8ecab35/standard/download-12-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Mon, 06 Oct 2025 15:13:00 GMT</pubDate>
            <media:title>MyCLC Overview</media:title>
            <itunes:summary>This video provides a quick introduction to myCLC. If you do not already have access to myCLC Please contact bioinformaticslicense@qiagen.comAlso, 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?</itunes:summary>
            <itunes:subtitle>This video provides a quick introduction to myCLC. If you do not already have access to myCLC Please contact bioinformaticslicense@qiagen.comAlso, check out these FAQ pages:What is myCLC? How can I get access to myCLC? How can I find information...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>02:42</itunes:duration>
            <media:description type="html">&lt;p&gt;&lt;p&gt;This video provides a quick introduction to myCLC. If you do not already have access to myCLC Please contact &lt;a target="_blank" rel="noopener noreferrer nofollow" href="mailto:bioinformaticslicense@qiagen.com"&gt;&lt;strong&gt;bioinformaticslicense@qiagen.com&lt;/strong&gt;&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Also, check out these FAQ pages:&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5oJCAS&amp;amp;categoryName=CLC_Software"&gt;What is myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5o1CAC&amp;amp;categoryName=CLC_Software"&gt;How can I get access to myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L64eCAC&amp;amp;categoryName=CLC_Software"&gt;How can I find information about my CLC licenses?&lt;/a&gt;&amp;nbsp; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5oOCAS&amp;amp;categoryName=CLC_Software"&gt;How can I add someone as a technical contact to myCLC?&lt;/a&gt; &amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;a target="_blank" rel="noopener noreferrer nofollow" href="https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA41i000000L5o4CAC&amp;amp;categoryName=CLC_Software"&gt;How can I view information for another myCLC account?&lt;/a&gt;&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/117124258/myclc-overview"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968566/117124258/7de71ce06c3eaf891ef14218a8ecab35/standard/download-12-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <title>Discoveries from comparing user data with high-quality public genomics data</title>
            <link>http://tv.qiagenbioinformatics.com/photo/103033258/discoveries-from-comparing-user</link>
            <description>&lt;p&gt;Discoveries from comparing user data with high-quality public genomics data&lt;/p&gt;
&lt;p&gt;Description:&lt;br /&gt;
Scientists across biopharma and academia, from early discovery and translational research to toxicology and more, are highly interested in comparing and validating their 'omics experiment results such as RNA-seq, microarray, and single cell RNA-seq against published datasets. With QIAGEN OmicSoft Lands collections of deeply curated omics datasets from biomarkers and drug target investigations, tissue and cell type profiling, drug response studies and more, it is quick and easy to discover, retrieve, and compare data from GEO, SRA, GTEx, TCGA, HCL, and other data sources against your own experiments.&lt;/p&gt;
&lt;p&gt;In this webinar, you will learn how to compare your data with published datasets with clean metadata using two different approaches:&lt;/p&gt;
&lt;p&gt;OmicSoft Studio Graphical User Interface: Many scientists interested in validating their omics datasets are comfortable with a no-code GUI. The trainer will teach you how to find interesting published datasets in the Land database, retrieve these data, then compare your data using OmicSoft Studio.&lt;/p&gt;
&lt;p&gt;OmicSoft Lands APIs: Data scientists and bioinformaticians, and others more comfortable working with command-line data exploration and visualization tools within R and Python, can use the OmicSoft Lands API. OmicSoft Lands API allows command-line users to efficiently search, explore, and analyze multi-omics data using consistent metadata and data models, then retrieve data of interest to compare directly with user datasets.&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/103033258/discoveries-from-comparing-user"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968568/103033258/78722b71c5902a38d8be9d5e6b1034fb/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Thu, 18 Jul 2024 13:54:58 GMT</pubDate>
            <media:title>Discoveries from comparing user data with high-quality public genomics data</media:title>
            <itunes:summary>Discoveries from comparing user data with high-quality public genomics data
Description:
Scientists across biopharma and academia, from early discovery and translational research to toxicology and more, are highly interested in comparing and validating their 'omics experiment results such as RNA-seq, microarray, and single cell RNA-seq against published datasets. With QIAGEN OmicSoft Lands collections of deeply curated omics datasets from biomarkers and drug target investigations, tissue and cell type profiling, drug response studies and more, it is quick and easy to discover, retrieve, and compare data from GEO, SRA, GTEx, TCGA, HCL, and other data sources against your own experiments.
In this webinar, you will learn how to compare your data with published datasets with clean metadata using two different approaches:
OmicSoft Studio Graphical User Interface: Many scientists interested in validating their omics datasets are comfortable with a no-code GUI. The trainer will teach you how to find interesting published datasets in the Land database, retrieve these data, then compare your data using OmicSoft Studio.
OmicSoft Lands APIs: Data scientists and bioinformaticians, and others more comfortable working with command-line data exploration and visualization tools within R and Python, can use the OmicSoft Lands API. OmicSoft Lands API allows command-line users to efficiently search, explore, and analyze multi-omics data using consistent metadata and data models, then retrieve data of interest to compare directly with user datasets.</itunes:summary>
            <itunes:subtitle>Discoveries from comparing user data with high-quality public genomics data
Description:
Scientists across biopharma and academia, from early discovery and translational research to toxicology and more, are highly interested in comparing and...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>01:22:46</itunes:duration>
            <media:description type="html">&lt;p&gt;Discoveries from comparing user data with high-quality public genomics data&lt;/p&gt;
&lt;p&gt;Description:&lt;br /&gt;
Scientists across biopharma and academia, from early discovery and translational research to toxicology and more, are highly interested in comparing and validating their 'omics experiment results such as RNA-seq, microarray, and single cell RNA-seq against published datasets. With QIAGEN OmicSoft Lands collections of deeply curated omics datasets from biomarkers and drug target investigations, tissue and cell type profiling, drug response studies and more, it is quick and easy to discover, retrieve, and compare data from GEO, SRA, GTEx, TCGA, HCL, and other data sources against your own experiments.&lt;/p&gt;
&lt;p&gt;In this webinar, you will learn how to compare your data with published datasets with clean metadata using two different approaches:&lt;/p&gt;
&lt;p&gt;OmicSoft Studio Graphical User Interface: Many scientists interested in validating their omics datasets are comfortable with a no-code GUI. The trainer will teach you how to find interesting published datasets in the Land database, retrieve these data, then compare your data using OmicSoft Studio.&lt;/p&gt;
&lt;p&gt;OmicSoft Lands APIs: Data scientists and bioinformaticians, and others more comfortable working with command-line data exploration and visualization tools within R and Python, can use the OmicSoft Lands API. OmicSoft Lands API allows command-line users to efficiently search, explore, and analyze multi-omics data using consistent metadata and data models, then retrieve data of interest to compare directly with user datasets.&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/103033258/discoveries-from-comparing-user"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968568/103033258/78722b71c5902a38d8be9d5e6b1034fb/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
            <media:content url="https://tv.qiagenbioinformatics.com/v.ihtml/player.html?token=78722b71c5902a38d8be9d5e6b1034fb&amp;source=podcast&amp;photo%5fid=103033258" width="500" height="281" type="text/html" medium="video" duration="4966" isDefault="true" expression="full"/>
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            <category>omicsoft</category>
            <category>tutorials</category>
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            <title>Addressing the multiple testing problem in pathway analysis with QIAGEN...</title>
            <link>http://tv.qiagenbioinformatics.com/photo/83370199/addressing-the-multiple-testing</link>
            <description>&lt;p&gt;&lt;p&gt;Pathway analysis is a powerful tool when looking at biological data. But how can you interpret the results if you don't fully understand the statistical results?  In this brief video, we walk you through relevant statistical topics such as:
&lt;/p&gt;&lt;ul&gt;&lt;li&gt;What does multiple hypothesis testing mean?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
How do you control for multiple hypothesis testing when performing pathway analysis?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
Which corrected p-value method should you use?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
What does the p-value threshold mean in terms of your results?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Where can I adjust the p-values of overlap in IPA?&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;Time stamp information:&lt;/p&gt;&lt;p&gt;0:00-1:15 Introduction&lt;br&gt;&lt;/p&gt;&lt;p&gt;1:16-1:49 Example experiment&lt;br&gt;&lt;/p&gt;&lt;p&gt;1:50-1:56 Definition of the null hypothesis for IPA analyses&lt;br&gt;1:57-5:28 P-values and the probability of false positives&lt;br&gt;5:29-7:26 The Family Wise Error Rate&lt;br&gt;7:27-8:13 The False Discovery Rate&lt;br&gt;8:14 13:52 How False Discovery Rate method works&lt;br&gt;13:53-16:64 The Benjamini-Hochberg method and an example of how it works&lt;br&gt;16:65-18:46 How to apply the Benjamini-Hochberg method in your IPA results&lt;br&gt;18:47-19:19 How to get more information about IPA&lt;/p&gt; &lt;p&gt;Visit &lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipahttp://"&gt;QIAGEN IPA&lt;/a&gt; to learn more&lt;/p&gt;&lt;p&gt;

Keywords: FDR, False Discovery Rate, Benjamini Hochberg, Benjamini Hochberg correction, Benjamini Hochberg FDR, IPA, Ingenuity Pathway Analysis, IPA tutorials, Ingenuity Pathway Analysis tutorials, QIAGEN, corrected p value, adjust p-value, multiple hypothesis testing, statistics, p-values&lt;br&gt;&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/83370199/addressing-the-multiple-testing"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968568/83370199/5e4905674982df31594d979611f6ab67/standard/download-9-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://tv.qiagenbioinformatics.com/photo/83370199</guid>
            <pubDate>Wed, 15 Feb 2023 17:03:29 GMT</pubDate>
            <media:title>Addressing the multiple testing problem in pathway analysis with QIAGEN...</media:title>
            <itunes:summary>Pathway analysis is a powerful tool when looking at biological data. But how can you interpret the results if you don't fully understand the statistical results?  In this brief video, we walk you through relevant statistical topics such as:
What does multiple hypothesis testing mean?
How do you control for multiple hypothesis testing when performing pathway analysis?
Which corrected p-value method should you use?
What does the p-value threshold mean in terms of your results?Where can I adjust the p-values of overlap in IPA?Time stamp information:0:00-1:15 Introduction1:16-1:49 Example experiment1:50-1:56 Definition of the null hypothesis for IPA analyses1:57-5:28 P-values and the probability of false positives5:29-7:26 The Family Wise Error Rate7:27-8:13 The False Discovery Rate8:14 13:52 How False Discovery Rate method works13:53-16:64 The Benjamini-Hochberg method and an example of how it works16:65-18:46 How to apply the Benjamini-Hochberg method in your IPA results18:47-19:19 How to get more information about IPA Visit QIAGEN IPA to learn more

Keywords: FDR, False Discovery Rate, Benjamini Hochberg, Benjamini Hochberg correction, Benjamini Hochberg FDR, IPA, Ingenuity Pathway Analysis, IPA tutorials, Ingenuity Pathway Analysis tutorials, QIAGEN, corrected p value, adjust p-value, multiple hypothesis testing, statistics, p-values</itunes:summary>
            <itunes:subtitle>Pathway analysis is a powerful tool when looking at biological data. But how can you interpret the results if you don't fully understand the statistical results?  In this brief video, we walk you through relevant statistical topics such as:
What...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>19:19</itunes:duration>
            <media:description type="html">&lt;p&gt;&lt;p&gt;Pathway analysis is a powerful tool when looking at biological data. But how can you interpret the results if you don't fully understand the statistical results?  In this brief video, we walk you through relevant statistical topics such as:
&lt;/p&gt;&lt;ul&gt;&lt;li&gt;What does multiple hypothesis testing mean?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
How do you control for multiple hypothesis testing when performing pathway analysis?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
Which corrected p-value method should you use?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;
What does the p-value threshold mean in terms of your results?&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;Where can I adjust the p-values of overlap in IPA?&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;Time stamp information:&lt;/p&gt;&lt;p&gt;0:00-1:15 Introduction&lt;br&gt;&lt;/p&gt;&lt;p&gt;1:16-1:49 Example experiment&lt;br&gt;&lt;/p&gt;&lt;p&gt;1:50-1:56 Definition of the null hypothesis for IPA analyses&lt;br&gt;1:57-5:28 P-values and the probability of false positives&lt;br&gt;5:29-7:26 The Family Wise Error Rate&lt;br&gt;7:27-8:13 The False Discovery Rate&lt;br&gt;8:14 13:52 How False Discovery Rate method works&lt;br&gt;13:53-16:64 The Benjamini-Hochberg method and an example of how it works&lt;br&gt;16:65-18:46 How to apply the Benjamini-Hochberg method in your IPA results&lt;br&gt;18:47-19:19 How to get more information about IPA&lt;/p&gt; &lt;p&gt;Visit &lt;a href="https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipahttp://"&gt;QIAGEN IPA&lt;/a&gt; to learn more&lt;/p&gt;&lt;p&gt;

Keywords: FDR, False Discovery Rate, Benjamini Hochberg, Benjamini Hochberg correction, Benjamini Hochberg FDR, IPA, Ingenuity Pathway Analysis, IPA tutorials, Ingenuity Pathway Analysis tutorials, QIAGEN, corrected p value, adjust p-value, multiple hypothesis testing, statistics, p-values&lt;br&gt;&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/83370199/addressing-the-multiple-testing"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968568/83370199/5e4905674982df31594d979611f6ab67/standard/download-9-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>ipa</category>
            <category>ipa webinar</category>
            <category>tutorials</category>
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