Environmental contamination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) is of significant concern due to a wide range of adverse health effects induced by these chemicals, including hepatotoxicity. Analyzing next-generation sequencing data (NGS) from RNA-seq experiments to identify PFAS-induced adverse outcome pathways in the liver may help better understand the mechanisms of PFAS-induced hepatotoxicity. This training will use QIAGEN CLC Genomics Workbench to generate differential expression data from RNA-seq and QIAGEN IPA to study the data within a biological context and uncover molecular mechanisms and regulatory molecules.

In this training, you’ll learn how to:
• Import NGS data into QIAGEN CLC Genomics Workbench
• Generate differential expression data using template workflows
• Export data to IPA
• Investigate pathways and regulatory networks to understand biological mechanisms
• Compare different experimental groups to identify biological similarities and differences
• Generate a custom network