- WHAT: Pathway Enrichment Analysis & Visualization w/ Open Access Tools
- WHEN: April 21st, 10am-12pm & 1-3pm
- WHERE: Online; instructions upon registration
- WHO: Ansuman Chattopadhyay & Sri Chaparala
- HOW: Register here
This class focuses on uncovering the biology hidden behind a list of genes that are differentially expressed between two conditions (tumor vs. normal, virus-infected vs. mock, etc.) by searching publicly available pathway enrichment analysis resources including Gene Ontology (GO), Molecular Signature Database (MsigDB), Reactome, Panther, KEGG, PathwayCommons, and WikiPathways using GSEA and g: Profiler. We also cover how to generate enrichment maps for GSEA and g:Profiler results in Cytoscape.
Target Audience:
Experimental biologists seeking to analyze gene lists generated through omics experiments. The software covered in the workshop operates through a user-friendly, point-and-click graphical user Interface, so neither programming experience nor familiarity with command line interface is required.
Workshop Guide:
https://hsls.libguides.com/MBISworkshops/PathwaysOpen
Attribution:
Please include the following statement in the acknowledgments section for all publications, posters, and presentations: Data analysis was performed using {name of software} software licensed through the Molecular Biology Information Service of the Health Sciences Library System, University of Pittsburgh.
HSLS Winter/Spring 2021 MolBio Info Service Training Workshops schedule
Contact the HSLS Molecular Biology Information Service with any questions.