HeyJaredtv.qiagenbioinformatics.com
Watch tutorials, interviews and much more on our web based TV channel!
- Indexed episodes, last 90 days
- 14
- Latest publication
- Sep 7, 2026
- Audience
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- Earliest in this view
- Jul 8, 2026
Latest episodes
Connecting Data to Discoveries: Introduction to Biomedical Knowledge Graphs (opens the original)
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Biomedical knowledge graphs are powerful tools for organizing complex biological information and uncovering relationships that are difficult to see in traditional data formats. For part 2 of this series, we will show how researchers new to knowledge graphs can use them to support hypothesis generation, target discovery and data exploration. We will explore: - Knowledge graph fundamentals - How biological entities and relationships are represented - How to query, navigate and interpret the interc
Connecting Data to Discoveries: Creating SQL Queries for Biomedical Research (opens the original)
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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 -
Accelerating biomarker signature discovery for rare diseases using curated... (opens the original)
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Identifying molecular signatures for rare diseases is challenging, mainly due to limited sample sizes and heterogenous data. Researchers must often piece together fragmented evidence to uncover shared biological mechanisms. Though inescapable, this process can be more efficient. See how QIAGEN OmicSoft Lands and Ingenuity Pathway Analysis (IPA) streamlines biomarker signature discovery using curated real-world datasets and powerful causal analytics. With automation powered by SQL, Python and R A
RNA-seq data analysis using QIAGEN CLC Genomics Workbench (opens the original)
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For your RNA-seq data, you will learn how to: • Import FASTQ files, cell matrix files and metadata • Download and/or import reference and annotations files • Map reads to a reference genome • Generate gene and transcript counts • QC reports displaying % mapped reads etc. • Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, Sankey plot and more • Easily customize RNA-seq workflows • Export publication-quality graphics, tables and r
Translating Genomic Data into Parasitology Insights for Public Health (opens the original)
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Cyclospora cayetanensis remains an important focus of food safety, public health and parasitology research. As genomic resources and molecular surveillance efforts continue to grow, researchers gain new opportunities to investigate parasite diversity, genetic variation, transmission patterns and the biological mechanisms underlying infection. Our webinar explores how QIAGEN CLC Genomics Workbench can streamline the analysis of parasite sequencing data through intuitive, reproducible and accessib
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