<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:media="http://search.yahoo.com/mrss/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd">
    <channel>
        <itunes:owner>
            <itunes:name>tv.qiagenbioinformatics.com</itunes:name>
            <itunes:email>marketingbiox@qiagen.com</itunes:email>
        </itunes:owner>
        <title>tv.qiagenbioinformatics.com</title>
        <link>https://tv.qiagenbioinformatics.com</link>
        <description>Watch tutorials, interviews and much more on our web based TV channel!</description>
        <language>en-us</language>
        <generator>Visualplatform</generator>
        <docs>http://blogs.law.harvard.edu/tech/rss</docs>
        <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
        <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>
        <itunes:type>episodic</itunes:type>
        <itunes:explicit>no</itunes:explicit>
        <itunes:image href="https://tv.qiagenbioinformatics.com/files/rv0.0/sitelogo.gif"/>
        <itunes:category text="Science &amp; Medicine"/>
        <image>
            <url>https://tv.qiagenbioinformatics.com/files/rv0.0/sitelogo.gif</url>
            <title>tv.qiagenbioinformatics.com</title>
            <link>https://tv.qiagenbioinformatics.com</link>
        </image>
        <atom:link rel="self" href="https://tv.qiagenbioinformatics.com/audiopodcast/tag/qci interpret translational"/>
        <atom:link rel="next" href="https://tv.qiagenbioinformatics.com/audiopodcast/tag/qci interpret translational?tag=qci+interpret+translational&amp;p=2&amp;podcast%5fp=t&amp;https="/>
        <item>
            <enclosure url="http://tv.qiagenbioinformatics.com/64968578/83037544/8590517c0bfb9884a7aaddd459997d73/audio/podcast/83037544-7-audio.mp3" type="audio/mp3" length="31105391"/>
            <title>Take your genome research to the next level with QCI Interpret Translational</title>
            <link>http://tv.qiagenbioinformatics.com/photo/83037544/take-your-genome-research-to-the</link>
            <description>&lt;p&gt;Discovery of new genes implicated in hereditary diseases or cancer progression is challenging and advancing rapidly with an increase in the amount of cohort data to analyze. It is estimated that every day one new gene is discovered to be associated with a disease. QCI Interpret Translational can get your research to the next level by providing you all the necessary analysis tools with the world’s most comprehensive and up-to-date curated scientific evidence. Get valuable and reliable insights for your research project and speed up your discoveries by using a streamlined NGS analysis workflow in a user-friendly interface without needing bioinformatics expertise.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;In this webinar, viewers will have the opportunity to:&lt;/p&gt;
&lt;p&gt;Explore capabilities which can enable them to accelerate discoveries from hereditary or tumor cohort analyses&lt;br&gt;
Discover interactive tools with current and comprehensive associations between gene variants and diseases&lt;br&gt;
Learn how these resources are supported by unique curated content among other integrated scientific evidence&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/83037544/take-your-genome-research-to-the"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968578/83037544/8590517c0bfb9884a7aaddd459997d73/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://tv.qiagenbioinformatics.com/photo/83037544</guid>
            <pubDate>Fri, 03 Feb 2023 04:39:38 GMT</pubDate>
            <media:title>Take your genome research to the next level with QCI Interpret Translational</media:title>
            <itunes:summary>Discovery of new genes implicated in hereditary diseases or cancer progression is challenging and advancing rapidly with an increase in the amount of cohort data to analyze. It is estimated that every day one new gene is discovered to be associated with a disease. QCI Interpret Translational can get your research to the next level by providing you all the necessary analysis tools with the world’s most comprehensive and up-to-date curated scientific evidence. Get valuable and reliable insights for your research project and speed up your discoveries by using a streamlined NGS analysis workflow in a user-friendly interface without needing bioinformatics expertise.
In this webinar, viewers will have the opportunity to:
Explore capabilities which can enable them to accelerate discoveries from hereditary or tumor cohort analyses
Discover interactive tools with current and comprehensive associations between gene variants and diseases
Learn how these resources are supported by unique curated content among other integrated scientific evidence</itunes:summary>
            <itunes:subtitle>Discovery of new genes implicated in hereditary diseases or cancer progression is challenging and advancing rapidly with an increase in the amount of cohort data to analyze. It is estimated that every day one new gene is discovered to be...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>43:12</itunes:duration>
            <media:description type="html">&lt;p&gt;Discovery of new genes implicated in hereditary diseases or cancer progression is challenging and advancing rapidly with an increase in the amount of cohort data to analyze. It is estimated that every day one new gene is discovered to be associated with a disease. QCI Interpret Translational can get your research to the next level by providing you all the necessary analysis tools with the world’s most comprehensive and up-to-date curated scientific evidence. Get valuable and reliable insights for your research project and speed up your discoveries by using a streamlined NGS analysis workflow in a user-friendly interface without needing bioinformatics expertise.&lt;p&gt;&lt;/p&gt;
&lt;p&gt;In this webinar, viewers will have the opportunity to:&lt;/p&gt;
&lt;p&gt;Explore capabilities which can enable them to accelerate discoveries from hereditary or tumor cohort analyses&lt;br&gt;
Discover interactive tools with current and comprehensive associations between gene variants and diseases&lt;br&gt;
Learn how these resources are supported by unique curated content among other integrated scientific evidence&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/83037544/take-your-genome-research-to-the"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968578/83037544/8590517c0bfb9884a7aaddd459997d73/standard/download-7-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=8590517c0bfb9884a7aaddd459997d73&amp;source=podcast&amp;photo%5fid=83037544" width="500" height="313" type="text/html" medium="video" duration="2592" isDefault="true" expression="full"/>
            <media:thumbnail url="http://tv.qiagenbioinformatics.com/64968578/83037544/8590517c0bfb9884a7aaddd459997d73/standard/download-7-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://tv.qiagenbioinformatics.com/64968578/83037544/8590517c0bfb9884a7aaddd459997d73/standard/download-7-thumbnail.jpg/thumbnail.jpg"/>
            <category>qci interpret translational</category>
        </item>
        <item>
            <enclosure url="http://tv.qiagenbioinformatics.com/64968578/72567132/3358a3e7a341f7ea5ce094fcba6bac80/audio/podcast/72567132-7-audio.mp3" type="audio/mp3" length="41978087"/>
            <title>Variant Calling to Biological Insights – A Lynch Syndrome Case Study</title>
            <link>http://tv.qiagenbioinformatics.com/photo/72567132/variant-calling-to-biological</link>
            <description>&lt;p&gt;In this webinar, we present a case study on Lynch syndrome (LS), a hereditary condition characterized by a high risk of colorectal cancer, endometrial cancer, and other neoplasia that typically manifests in the context of germline variants in DNA mismatched genes.&lt;br&gt;
To study whether other germline pathogenic variants of hereditary cancer genes are present in patients previously diagnosed with LS, the researchers analyzed a comprehensive panel of cancer-predisposing genes by NGS among 84 LS probands.
&lt;p&gt;With this study as an example, we will illustrate how you can use your own data and public data to conduct translational research using 3 software solutions from QIAGEN.&lt;/p&gt;
&lt;p&gt;This webinar will focus on the following elements:&lt;/p&gt;
&lt;p&gt;Data analysis – How you can efficiently retrieve and process FASTQ data with accurate variant interpretation using CLC Genomics Workbench&lt;br&gt;
Interpretation – How you can take a set of variants and rapidly assess sample variants for disease relevance and pathogenicity using QCI Interpret Translational&lt;br&gt;
Discovery – How you can combine results and contextualize variant biomarkers with other public datasets using QIAGEN Ingenuity Pathway Analysis (IPA)&lt;/p&gt;
&lt;p&gt;Speaker:&lt;/p&gt;
&lt;p&gt;Eric Seiser, PhD&lt;br&gt;
Senior Field Applications Scientist&lt;br&gt;
QIAGEN Digital Insights&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/72567132/variant-calling-to-biological"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968578/72567132/3358a3e7a341f7ea5ce094fcba6bac80/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://tv.qiagenbioinformatics.com/photo/72567132</guid>
            <pubDate>Thu, 09 Dec 2021 07:19:18 GMT</pubDate>
            <media:title>Variant Calling to Biological Insights – A Lynch Syndrome Case Study</media:title>
            <itunes:summary>In this webinar, we present a case study on Lynch syndrome (LS), a hereditary condition characterized by a high risk of colorectal cancer, endometrial cancer, and other neoplasia that typically manifests in the context of germline variants in DNA mismatched genes.
To study whether other germline pathogenic variants of hereditary cancer genes are present in patients previously diagnosed with LS, the researchers analyzed a comprehensive panel of cancer-predisposing genes by NGS among 84 LS probands.
With this study as an example, we will illustrate how you can use your own data and public data to conduct translational research using 3 software solutions from QIAGEN.
This webinar will focus on the following elements:
Data analysis – How you can efficiently retrieve and process FASTQ data with accurate variant interpretation using CLC Genomics Workbench
Interpretation – How you can take a set of variants and rapidly assess sample variants for disease relevance and pathogenicity using QCI Interpret Translational
Discovery – How you can combine results and contextualize variant biomarkers with other public datasets using QIAGEN Ingenuity Pathway Analysis (IPA)
Speaker:
Eric Seiser, PhD
Senior Field Applications Scientist
QIAGEN Digital Insights</itunes:summary>
            <itunes:subtitle>In this webinar, we present a case study on Lynch syndrome (LS), a hereditary condition characterized by a high risk of colorectal cancer, endometrial cancer, and other neoplasia that typically manifests in the context of germline variants in DNA...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>58:18</itunes:duration>
            <media:description type="html">&lt;p&gt;In this webinar, we present a case study on Lynch syndrome (LS), a hereditary condition characterized by a high risk of colorectal cancer, endometrial cancer, and other neoplasia that typically manifests in the context of germline variants in DNA mismatched genes.&lt;br&gt;
To study whether other germline pathogenic variants of hereditary cancer genes are present in patients previously diagnosed with LS, the researchers analyzed a comprehensive panel of cancer-predisposing genes by NGS among 84 LS probands.
&lt;p&gt;With this study as an example, we will illustrate how you can use your own data and public data to conduct translational research using 3 software solutions from QIAGEN.&lt;/p&gt;
&lt;p&gt;This webinar will focus on the following elements:&lt;/p&gt;
&lt;p&gt;Data analysis – How you can efficiently retrieve and process FASTQ data with accurate variant interpretation using CLC Genomics Workbench&lt;br&gt;
Interpretation – How you can take a set of variants and rapidly assess sample variants for disease relevance and pathogenicity using QCI Interpret Translational&lt;br&gt;
Discovery – How you can combine results and contextualize variant biomarkers with other public datasets using QIAGEN Ingenuity Pathway Analysis (IPA)&lt;/p&gt;
&lt;p&gt;Speaker:&lt;/p&gt;
&lt;p&gt;Eric Seiser, PhD&lt;br&gt;
Senior Field Applications Scientist&lt;br&gt;
QIAGEN Digital Insights&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/72567132/variant-calling-to-biological"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968578/72567132/3358a3e7a341f7ea5ce094fcba6bac80/standard/download-7-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=3358a3e7a341f7ea5ce094fcba6bac80&amp;source=podcast&amp;photo%5fid=72567132" width="500" height="281" type="text/html" medium="video" duration="3498" isDefault="true" expression="full"/>
            <media:thumbnail url="http://tv.qiagenbioinformatics.com/64968578/72567132/3358a3e7a341f7ea5ce094fcba6bac80/standard/download-7-thumbnail.jpg" width="75" height=""/>
            <itunes:image href="http://tv.qiagenbioinformatics.com/64968578/72567132/3358a3e7a341f7ea5ce094fcba6bac80/standard/download-7-thumbnail.jpg/thumbnail.jpg"/>
            <category>clinical</category>
            <category>qci interpret translational</category>
            <category>webinar</category>
        </item>
    </channel>
</rss>
