Skill UI

Query the Reactome Content and Analysis Services (or the reactome2py client) to fetch pathway hierarchies, map genes, run overrepresentation/expression analyses, and explore disease interactions for systems biology research.

Python client for bioinformatics services such as UniProt, KEGG, ChEMBL, Reactome, QuickGO and UniChem, enabling cross-database protein annotation, pathway retrieval, compound cross-referencing and integrated biological data workflows.

Perform pathway and gene-set enrichment analysis on gene lists or ranked data using tools like gseapy, Enrichr, and g:Profiler. Supports ORA, GSEA, ssGSEA, and functional profiling across GO, KEGG, Reactome, and MSigDB databases. Ideal for interpreting differential expression results, CRISPR screen hits, and cluster markers to identify over-represented biological pathways.