Pathway Analysis
To Know
About this Class
Learn to apply pathway analysis to explore patterns and relationships among genes, proteins, and other molecules.
Three popular pathway tools currently available to NIH researchers will be demonstrated.
• Gene Set Enrichment Analysis (GSEA): Investigate whether a set of genes show statistically significant differences between two biological states.
• G:Profiler: Characterize and visualize gene lists from 400+ species using a set of statistical tools.
• Enrichr: Search and compare lists of genes against human and mouse data.
During the demonstration, you will see how you can run pathway analysis data against popular pathway databases including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Molecular Signatures Database (MSigDB).
Whether you’re new to bioinformatics or looking to sharpen your pathway analysis skills, this workshop will equip you with both the fundamentals and practical tools to run your own analyses— no programming required.