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        <title>Discovery and Research User Group Meetings +</title>
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            <title>May 2020 IPA-OS UGM - 1.OmicSoft Core Capabilities Training - Features that...</title>
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            <pubDate>Wed, 28 Jan 2026 21:51:30 GMT</pubDate>
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            <category>May2020-IPA-OS-UGM</category>
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            <category>omicsoft tutorial</category>
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            <title>April 1, 2020 - 1 - OmicSoft DiseaseLand Core Capabilities Training - Elodie...</title>
            <link>http://tv.qiagenbioinformatics.com/photo/61879543/april-1-2020-1-omicsoft</link>
            <description>&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/61879543/april-1-2020-1-omicsoft"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/60445027/61879543/3c666c023ae4c368ae3214f1bcdfa7ad/standard/download-4-thumbnail.jpg" width="600" height="375"/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 28 Jan 2026 21:50:31 GMT</pubDate>
            <media:title>April 1, 2020 - 1 - OmicSoft DiseaseLand Core Capabilities Training - Elodie...</media:title>
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            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>38:20</itunes:duration>
            <media:description type="html">&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/61879543/april-1-2020-1-omicsoft"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/60445027/61879543/3c666c023ae4c368ae3214f1bcdfa7ad/standard/download-4-thumbnail.jpg" width="600" height="375"/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>biomarker</category>
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            <category>OmicSoft</category>
            <category>omicsoft tutorial</category>
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            <title>OmicSoft UGM Fall 2020 - Advanced training by Shawn Prince</title>
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            <description>&lt;p&gt;In this video, Shawn Prince, Ph.D takes you through the advanced features of QIAGEN OmicSoft with customer use cases&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/64512617/omicsoft-ugm-fall-2020-advanced"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/60445027/64512617/1b5c7a8b3055b3848ba3a94f52930a5d/standard/download-4-thumbnail.jpg" width="600" height="338"/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Fri, 16 Jan 2026 21:44:45 GMT</pubDate>
            <media:title>OmicSoft UGM Fall 2020 - Advanced training by Shawn Prince</media:title>
            <itunes:summary>In this video, Shawn Prince, Ph.D takes you through the advanced features of QIAGEN OmicSoft with customer use cases</itunes:summary>
            <itunes:subtitle>In this video, Shawn Prince, Ph.D takes you through the advanced features of QIAGEN OmicSoft with customer use cases</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>39:51</itunes:duration>
            <media:description type="html">&lt;p&gt;In this video, Shawn Prince, Ph.D takes you through the advanced features of QIAGEN OmicSoft with customer use cases&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/64512617/omicsoft-ugm-fall-2020-advanced"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/60445027/64512617/1b5c7a8b3055b3848ba3a94f52930a5d/standard/download-4-thumbnail.jpg" width="600" height="338"/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>omicsoft tutorial</category>
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            <title>Virtual Roundtable: Data Curation and AI/Machine Learning in Drug Discovery...</title>
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            <description>&lt;p&gt;Pharmaceutical companies and researchers are increasingly turning to artificial intelligence and machine learning to turbocharge and laser-focus their processes on potential drug targets for development. But this technology is only as good as the data that trains the computing algorithms, so data curation is imperative. In this Virtual Roundtable, we will look at what bioinformatics tools and expertise researchers will need for their drug discovery pipelines. We will take a specific look at approaches in data curation, including how bioinformaticians are collecting, harmonizing, curating, and analyzing disparate datasets.&lt;/p&gt;
&lt;p&gt;Join us as we hear from four leading experts on the use of AI and machine learning for data curation to support drug discovery informatics workflows. Our panelists will discuss their own work, the methods they have used, and the new possibilities available to researchers in their fields. At the end, we'll have a live question and answer session featuring submissions from our audience.&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/76278349/virtual-roundtable-data-curation"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968578/76278349/32d1bfd9329169661efb0ec702f313e3/standard/download-6-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Fri, 24 Jun 2022 14:58:47 GMT</pubDate>
            <media:title>Virtual Roundtable: Data Curation and AI/Machine Learning in Drug Discovery...</media:title>
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Join us as we hear from four leading experts on the use of AI and machine learning for data curation to support drug discovery informatics workflows. Our panelists will discuss their own work, the methods they have used, and the new possibilities available to researchers in their fields. At the end, we'll have a live question and answer session featuring submissions from our audience.</itunes:summary>
            <itunes:subtitle>Pharmaceutical companies and researchers are increasingly turning to artificial intelligence and machine learning to turbocharge and laser-focus their processes on potential drug targets for development. But this technology is only as good as the...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>59:30</itunes:duration>
            <media:description type="html">&lt;p&gt;Pharmaceutical companies and researchers are increasingly turning to artificial intelligence and machine learning to turbocharge and laser-focus their processes on potential drug targets for development. But this technology is only as good as the data that trains the computing algorithms, so data curation is imperative. In this Virtual Roundtable, we will look at what bioinformatics tools and expertise researchers will need for their drug discovery pipelines. We will take a specific look at approaches in data curation, including how bioinformaticians are collecting, harmonizing, curating, and analyzing disparate datasets.&lt;/p&gt;
&lt;p&gt;Join us as we hear from four leading experts on the use of AI and machine learning for data curation to support drug discovery informatics workflows. Our panelists will discuss their own work, the methods they have used, and the new possibilities available to researchers in their fields. At the end, we'll have a live question and answer session featuring submissions from our audience.&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/76278349/virtual-roundtable-data-curation"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968578/76278349/32d1bfd9329169661efb0ec702f313e3/standard/download-6-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <title>Identifying antimicrobial resistance from Sample to Insight</title>
            <link>http://tv.qiagenbioinformatics.com/photo/75002110/identifying-antimicrobial</link>
            <description>&lt;p&gt;Antimicrobial resistance (AMR) detection and surveillance is a high priority in healthcare and environmental settings for the safety of both patients and the general public. However, working with samples used for this type of monitoring, such as stool or wastewater, can be challenging, from the sample preparation to the sequencing to the bioinformatics.
&lt;p&gt;In this 60-minute online summit, we will take you through a series of biological samples, including stool, wastewater and others. We'll demonstrate the workflows and characteristics of each, together with the answers and insights you can expect. There will also be a live Q&amp;amp;A session, giving you a chance to discuss your questions and use cases with our experts.&lt;/p&gt;
&lt;p&gt;At this online virtual AMR summit, you will learn about:&lt;/p&gt;
&lt;p&gt;Our kits for nucleic acid extraction from various sample types such as stool, sludge and wastewater&lt;br&gt;
The importance of inhibitor removal during sample preparation&lt;br&gt;
Sequencing workflows for AMR&lt;br&gt;
Benefits of using hybrid capture versus shotgun sequencing&lt;br&gt;
How to generate ShortBRED AMR marker abundance tables&lt;br&gt;
How to associate and compare different metadata, such as sample type (stool, wastewater, etc.)&lt;br&gt;
AMR alpha and beta diversity across sample types and how to determine the depth of coverage&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/75002110/identifying-antimicrobial"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968566/75002110/c844027d50e12974c906a04abd9266a1/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Thu, 07 Apr 2022 18:26:52 GMT</pubDate>
            <media:title>Identifying antimicrobial resistance from Sample to Insight</media:title>
            <itunes:summary>Antimicrobial resistance (AMR) detection and surveillance is a high priority in healthcare and environmental settings for the safety of both patients and the general public. However, working with samples used for this type of monitoring, such as stool or wastewater, can be challenging, from the sample preparation to the sequencing to the bioinformatics.
In this 60-minute online summit, we will take you through a series of biological samples, including stool, wastewater and others. We'll demonstrate the workflows and characteristics of each, together with the answers and insights you can expect. There will also be a live QA session, giving you a chance to discuss your questions and use cases with our experts.
At this online virtual AMR summit, you will learn about:
Our kits for nucleic acid extraction from various sample types such as stool, sludge and wastewater
The importance of inhibitor removal during sample preparation
Sequencing workflows for AMR
Benefits of using hybrid capture versus shotgun sequencing
How to generate ShortBRED AMR marker abundance tables
How to associate and compare different metadata, such as sample type (stool, wastewater, etc.)
AMR alpha and beta diversity across sample types and how to determine the depth of coverage</itunes:summary>
            <itunes:subtitle>Antimicrobial resistance (AMR) detection and surveillance is a high priority in healthcare and environmental settings for the safety of both patients and the general public. However, working with samples used for this type of monitoring, such as...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>59:17</itunes:duration>
            <media:description type="html">&lt;p&gt;Antimicrobial resistance (AMR) detection and surveillance is a high priority in healthcare and environmental settings for the safety of both patients and the general public. However, working with samples used for this type of monitoring, such as stool or wastewater, can be challenging, from the sample preparation to the sequencing to the bioinformatics.
&lt;p&gt;In this 60-minute online summit, we will take you through a series of biological samples, including stool, wastewater and others. We'll demonstrate the workflows and characteristics of each, together with the answers and insights you can expect. There will also be a live Q&amp;amp;A session, giving you a chance to discuss your questions and use cases with our experts.&lt;/p&gt;
&lt;p&gt;At this online virtual AMR summit, you will learn about:&lt;/p&gt;
&lt;p&gt;Our kits for nucleic acid extraction from various sample types such as stool, sludge and wastewater&lt;br&gt;
The importance of inhibitor removal during sample preparation&lt;br&gt;
Sequencing workflows for AMR&lt;br&gt;
Benefits of using hybrid capture versus shotgun sequencing&lt;br&gt;
How to generate ShortBRED AMR marker abundance tables&lt;br&gt;
How to associate and compare different metadata, such as sample type (stool, wastewater, etc.)&lt;br&gt;
AMR alpha and beta diversity across sample types and how to determine the depth of coverage&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/75002110/identifying-antimicrobial"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968566/75002110/c844027d50e12974c906a04abd9266a1/standard/download-7-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>FAS Training</category>
            <category>microbial</category>
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