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            <title> Connecting Data to Discoveries: Creating SQL Queries for Biomedical Research</title>
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            <description>&lt;p&gt;&lt;p&gt;As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. For part 1 of this series, we will equip you with the know-how and best practices around designing SQL queries – no prior experience required.&lt;/p&gt;&lt;p&gt;While we will use QIAGEN biomedical databases, the knowledge you acquire can be easily applied to other databases. We will cover:&lt;/p&gt;&lt;p&gt;-&amp;nbsp;SQL basics&lt;/p&gt;&lt;p&gt;-&amp;nbsp;A brief overview of the knowledge databases to be used&lt;/p&gt;&lt;p&gt;-&amp;nbsp;How to design queries to help you answer scientific questions, e.g. related to disease pathology, MOA, drug response, gene signatures and more&lt;/p&gt;&lt;p&gt;-&amp;nbsp;Some applications and frequently asked questions&lt;/p&gt;&lt;p&gt;-&amp;nbsp;Resources&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/131129043/connecting-data-to-discoveries"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968571/131129043/9ef36dd0d79e5894cd3a48e73c11e77b/standard/download-12-thumbnail.jpg" width="600" height="338"/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Mon, 07 Sep 2026 09:34:36 GMT</pubDate>
            <media:title> Connecting Data to Discoveries: Creating SQL Queries for Biomedical Research</media:title>
            <itunes:summary>As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. For part 1 of this series, we will equip you with the know-how and best practices around designing SQL queries – no prior experience required.While we will use QIAGEN biomedical databases, the knowledge you acquire can be easily applied to other databases. We will cover:-SQL basics-A brief overview of the knowledge databases to be used-How to design queries to help you answer scientific questions, e.g. related to disease pathology, MOA, drug response, gene signatures and more-Some applications and frequently asked questions-Resources</itunes:summary>
            <itunes:subtitle>As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. For part 1 of this series, we will equip you with the know-how and best practices around...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>44:52</itunes:duration>
            <media:description type="html">&lt;p&gt;&lt;p&gt;As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. For part 1 of this series, we will equip you with the know-how and best practices around designing SQL queries – no prior experience required.&lt;/p&gt;&lt;p&gt;While we will use QIAGEN biomedical databases, the knowledge you acquire can be easily applied to other databases. We will cover:&lt;/p&gt;&lt;p&gt;-&amp;nbsp;SQL basics&lt;/p&gt;&lt;p&gt;-&amp;nbsp;A brief overview of the knowledge databases to be used&lt;/p&gt;&lt;p&gt;-&amp;nbsp;How to design queries to help you answer scientific questions, e.g. related to disease pathology, MOA, drug response, gene signatures and more&lt;/p&gt;&lt;p&gt;-&amp;nbsp;Some applications and frequently asked questions&lt;/p&gt;&lt;p&gt;-&amp;nbsp;Resources&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/131129043/connecting-data-to-discoveries"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968571/131129043/9ef36dd0d79e5894cd3a48e73c11e77b/standard/download-12-thumbnail.jpg" width="600" height="338"/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <title>Connecting Data to Discoveries: An Introduction to Biomedical Knowledge Graphs</title>
            <link>http://tv.qiagenbioinformatics.com/photo/126131446/connecting-data-to-discoveries-an</link>
            <description>&lt;p&gt;&lt;p&gt;Biomedical knowledge graphs are powerful tools for organizing complex biological information and uncovering relationships that are difficult to see in traditional data formats. This introductory webinar is for researchers new to knowledge graphs who want to understand how they can support hypothesis generation, target discovery and data exploration.&lt;/p&gt;&lt;p&gt;You will explore:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;- The fundamental concepts behind knowledge graphs&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- How biological entities and relationships are represented&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- How to query, navigate and interpret the interconnected biomedical data within the QIAGEN Biomedical Knowledge Base&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;No prior experience with graph databases or graph analytics is required – just curiosity about new ways to work with biomedical knowledge.&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/126131446/connecting-data-to-discoveries-an"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968556/126131446/6f7560393fe99463e2a73610f2afde74/standard/download-10-thumbnail.jpg" width="600" height="338"/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Mon, 20 Apr 2026 13:51:41 GMT</pubDate>
            <media:title>Connecting Data to Discoveries: An Introduction to Biomedical Knowledge Graphs</media:title>
            <itunes:summary>Biomedical knowledge graphs are powerful tools for organizing complex biological information and uncovering relationships that are difficult to see in traditional data formats. This introductory webinar is for researchers new to knowledge graphs who want to understand how they can support hypothesis generation, target discovery and data exploration.You will explore:- The fundamental concepts behind knowledge graphs- How biological entities and relationships are represented- How to query, navigate and interpret the interconnected biomedical data within the QIAGEN Biomedical Knowledge BaseNo prior experience with graph databases or graph analytics is required – just curiosity about new ways to work with biomedical knowledge.</itunes:summary>
            <itunes:subtitle>Biomedical knowledge graphs are powerful tools for organizing complex biological information and uncovering relationships that are difficult to see in traditional data formats. This introductory webinar is for researchers new to knowledge graphs...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>53:09</itunes:duration>
            <media:description type="html">&lt;p&gt;&lt;p&gt;Biomedical knowledge graphs are powerful tools for organizing complex biological information and uncovering relationships that are difficult to see in traditional data formats. This introductory webinar is for researchers new to knowledge graphs who want to understand how they can support hypothesis generation, target discovery and data exploration.&lt;/p&gt;&lt;p&gt;You will explore:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;- The fundamental concepts behind knowledge graphs&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- How biological entities and relationships are represented&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;- How to query, navigate and interpret the interconnected biomedical data within the QIAGEN Biomedical Knowledge Base&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;No prior experience with graph databases or graph analytics is required – just curiosity about new ways to work with biomedical knowledge.&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/126131446/connecting-data-to-discoveries-an"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968556/126131446/6f7560393fe99463e2a73610f2afde74/standard/download-10-thumbnail.jpg" width="600" height="338"/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <title>[Beginner-friendly] Creating SQL Queries for Biomedical Research</title>
            <link>http://tv.qiagenbioinformatics.com/photo/114395272/beginner-friendly-creating-sql</link>
            <description>&lt;p&gt;&lt;p&gt;As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. Through this training, we will equip you with the know-how and best practices around designing SQL queries – no prior SQL experience required. And while we will use QIAGEN biomedical databases, the knowledge you acquire can be easily applied to other databases.&lt;/p&gt;&lt;p&gt;Topics will include:&lt;/p&gt;&lt;p&gt;• Some basics of SQL&lt;/p&gt;&lt;p&gt;• A brief introduction to databases being used&lt;/p&gt;&lt;p&gt;• How to generate queries that can help you answer scientific questions (related to disease pathology, MOA, drug response, gene signatures and more)&lt;/p&gt;&lt;p&gt;• Some applications and frequently asked questions&lt;/p&gt;&lt;p&gt;• Resources&lt;/p&gt;&lt;p&gt;Come with your questions, and we’ll address them after the 1-hour training.&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/114395272/beginner-friendly-creating-sql"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968577/114395272/6cc0ea202439cc01ef8c0dabbb7147b7/standard/download-10-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Mon, 14 Jul 2025 13:14:46 GMT</pubDate>
            <media:title>[Beginner-friendly] Creating SQL Queries for Biomedical Research</media:title>
            <itunes:summary>As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. Through this training, we will equip you with the know-how and best practices around designing SQL queries – no prior SQL experience required. And while we will use QIAGEN biomedical databases, the knowledge you acquire can be easily applied to other databases.Topics will include:• Some basics of SQL• A brief introduction to databases being used• How to generate queries that can help you answer scientific questions (related to disease pathology, MOA, drug response, gene signatures and more)• Some applications and frequently asked questions• ResourcesCome with your questions, and we’ll address them after the 1-hour training.</itunes:summary>
            <itunes:subtitle>As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. Through this training, we will equip you with the know-how and best practices around...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>58:47</itunes:duration>
            <media:description type="html">&lt;p&gt;&lt;p&gt;As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. Through this training, we will equip you with the know-how and best practices around designing SQL queries – no prior SQL experience required. And while we will use QIAGEN biomedical databases, the knowledge you acquire can be easily applied to other databases.&lt;/p&gt;&lt;p&gt;Topics will include:&lt;/p&gt;&lt;p&gt;• Some basics of SQL&lt;/p&gt;&lt;p&gt;• A brief introduction to databases being used&lt;/p&gt;&lt;p&gt;• How to generate queries that can help you answer scientific questions (related to disease pathology, MOA, drug response, gene signatures and more)&lt;/p&gt;&lt;p&gt;• Some applications and frequently asked questions&lt;/p&gt;&lt;p&gt;• Resources&lt;/p&gt;&lt;p&gt;Come with your questions, and we’ll address them after the 1-hour training.&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/114395272/beginner-friendly-creating-sql"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968577/114395272/6cc0ea202439cc01ef8c0dabbb7147b7/standard/download-10-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>biomedical knowledge base</category>
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            <title>Leveraging the QIAGEN Knowledge Graph and causal embeddings for insights into...</title>
            <link>http://tv.qiagenbioinformatics.com/photo/103653632/leveraging-the-qiagen-knowledge-1</link>
            <description>&lt;p&gt;By connecting diverse entities and relationships, biomedical knowledge graphs hold the potential to uncover new insights from existing data. This webinar introduces a machine learning-based approach that utilizes causal interactions from the QIAGEN Knowledge Graph to predict novel drug-disease relationships and construct networks that capture relevant supporting evidence. We will present examples that showcase the application of this approach in the context of drug repurposing.&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/103653632/leveraging-the-qiagen-knowledge-1"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968571/103653632/8fe3499f7a8f82ccb57d3dd1f1dcd7d7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Sat, 17 Aug 2024 23:35:41 GMT</pubDate>
            <media:title>Leveraging the QIAGEN Knowledge Graph and causal embeddings for insights into...</media:title>
            <itunes:summary>By connecting diverse entities and relationships, biomedical knowledge graphs hold the potential to uncover new insights from existing data. This webinar introduces a machine learning-based approach that utilizes causal interactions from the QIAGEN Knowledge Graph to predict novel drug-disease relationships and construct networks that capture relevant supporting evidence. We will present examples that showcase the application of this approach in the context of drug repurposing.</itunes:summary>
            <itunes:subtitle>By connecting diverse entities and relationships, biomedical knowledge graphs hold the potential to uncover new insights from existing data. This webinar introduces a machine learning-based approach that utilizes causal interactions from the...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>58:30</itunes:duration>
            <media:description type="html">&lt;p&gt;By connecting diverse entities and relationships, biomedical knowledge graphs hold the potential to uncover new insights from existing data. This webinar introduces a machine learning-based approach that utilizes causal interactions from the QIAGEN Knowledge Graph to predict novel drug-disease relationships and construct networks that capture relevant supporting evidence. We will present examples that showcase the application of this approach in the context of drug repurposing.&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/103653632/leveraging-the-qiagen-knowledge-1"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968571/103653632/8fe3499f7a8f82ccb57d3dd1f1dcd7d7/standard/download-8-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>biomedical knowledge base</category>
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            <title>QIAGEN Biomedical KB-HD: data- and analytics-driven drug discovery</title>
            <link>http://tv.qiagenbioinformatics.com/photo/101070223/qiagen-biomedical-kb-hd-data-and</link>
            <description>&lt;p&gt;Ingenuity Pathway Analysis (IPA), currently cited in tens of thousands of publications and used by a large number of biopharmaceutical companies, is backed by QIAGEN Biomedical KB-HD. Accordingly, biomedical relationships knowledge has practically become required for innovative data- and analytics-driven drug discovery. It powers biomedical knowledge graph analysis, artificial intelligence (AI)-driven target identification and many more applications.
&lt;p&gt;In this webinar, we will introduce Biomedical KB-HD and how it allows its users to tackle applications that are not feasible with the Ingenuity Pathway Analysis graphical user interface or can be done faster and with more flexibility programmatically. We will demonstrate queries such as&lt;/p&gt;
&lt;p&gt;• Quickly find the shortest connections between genes/proteins/metabolites of interest in the context of specific disease through queries&lt;br&gt;
• Systematically build a network given a short list of genes/proteins/metabolites/chemicals&lt;br&gt;
• Recreate a drug mechanism of action&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/101070223/qiagen-biomedical-kb-hd-data-and"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968566/101070223/d5c09c5e1a5ab2cef09a9d16060c795e/standard/download-10-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Tue, 14 May 2024 13:57:00 GMT</pubDate>
            <media:title>QIAGEN Biomedical KB-HD: data- and analytics-driven drug discovery</media:title>
            <itunes:summary>Ingenuity Pathway Analysis (IPA), currently cited in tens of thousands of publications and used by a large number of biopharmaceutical companies, is backed by QIAGEN Biomedical KB-HD. Accordingly, biomedical relationships knowledge has practically become required for innovative data- and analytics-driven drug discovery. It powers biomedical knowledge graph analysis, artificial intelligence (AI)-driven target identification and many more applications.
In this webinar, we will introduce Biomedical KB-HD and how it allows its users to tackle applications that are not feasible with the Ingenuity Pathway Analysis graphical user interface or can be done faster and with more flexibility programmatically. We will demonstrate queries such as
• Quickly find the shortest connections between genes/proteins/metabolites of interest in the context of specific disease through queries
• Systematically build a network given a short list of genes/proteins/metabolites/chemicals
• Recreate a drug mechanism of action</itunes:summary>
            <itunes:subtitle>Ingenuity Pathway Analysis (IPA), currently cited in tens of thousands of publications and used by a large number of biopharmaceutical companies, is backed by QIAGEN Biomedical KB-HD. Accordingly, biomedical relationships knowledge has practically...</itunes:subtitle>
            <itunes:author>tv.qiagenbioinformatics.com</itunes:author>
            <itunes:duration>53:18</itunes:duration>
            <media:description type="html">&lt;p&gt;Ingenuity Pathway Analysis (IPA), currently cited in tens of thousands of publications and used by a large number of biopharmaceutical companies, is backed by QIAGEN Biomedical KB-HD. Accordingly, biomedical relationships knowledge has practically become required for innovative data- and analytics-driven drug discovery. It powers biomedical knowledge graph analysis, artificial intelligence (AI)-driven target identification and many more applications.
&lt;p&gt;In this webinar, we will introduce Biomedical KB-HD and how it allows its users to tackle applications that are not feasible with the Ingenuity Pathway Analysis graphical user interface or can be done faster and with more flexibility programmatically. We will demonstrate queries such as&lt;/p&gt;
&lt;p&gt;• Quickly find the shortest connections between genes/proteins/metabolites of interest in the context of specific disease through queries&lt;br&gt;
• Systematically build a network given a short list of genes/proteins/metabolites/chemicals&lt;br&gt;
• Recreate a drug mechanism of action&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://tv.qiagenbioinformatics.com/photo/101070223/qiagen-biomedical-kb-hd-data-and"&gt;&lt;img src="http://tv.qiagenbioinformatics.com/64968566/101070223/d5c09c5e1a5ab2cef09a9d16060c795e/standard/download-10-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>biomedical knowledge base</category>
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