Pathway Enrichment Analysis & Visualization using GSEA, g:Profiler and Cytoscape

Upcoming Classes

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The workshop is dedicated to exploring the intricate biology concealed within lists of differentially expressed genes. Participants will delve into an array of publicly accessible pathway enrichment analysis resources, such as the Gene Ontology (GO), Molecular Signature Database (MsigDB), Reactome, KEGG, and WikiPathways. Utilizing tools like GSEA and g:Profiler, the session will guide attendees in mining these databases effectively. Additionally, the workshop will provide comprehensive instruction on creating enrichment maps from GSEA and g:Profiler results using Cytoscape, thereby enhancing the participants' ability to visualize and interpret complex biological data.

Upon completing this class, you should be able to:
  • Discover the underlying biology of differentially expressed genes.
  • Familiarize with key pathway enrichment analysis resources including Gene Ontology (GO), Molecular Signature Database (MsigDB), Reactome, KEGG, and WikiPathways.
  • Learn to effectively use tools like GSEA and g:Profiler for mining pathway enrichment databases.
  • Gain skills in generating enrichment maps from GSEA and g:Profiler results.
  • Enhance the ability to visualize and interpret complex biological data using Cytoscape.
Level
Novice
See more learning options on this topic: Cytoscape See more learning options on this topic: Gene Set Enrichment Analysis (GSEA) See more learning options on this topic: g:Profiler