reactome-database

Reactome pathway analysis retrieves pathway data and performs enrichment via REST API endpoints. Use the Content Service to fetch pathway information by ID, then apply the Analysis Service for overrepresentation or expression analysis on gene lists to identify significantly enriched pathways.

Yes, Reactome mapping projects genes onto pathway databases to identify disease-associated pathways. The REST API supports cross-species comparisons and projection mapping, enabling you to link gene sets to specific biological processes and disease mechanisms.

Overrepresentation analysis identifies statistically significant pathways from gene lists by querying Reactome's pathway content. Submit genes to the Analysis Service, retrieve token-based results, and visualize findings through the Pathway Browser for systems biology interpretation.

No prerequisite Reactome knowledge is required. Start with a gene list and a pathway ID example like R-HSA-69278; the REST API handles pathway lookups and enrichment calculations, returning human-readable pathway names and participating molecules automatically.

Reactome's Analysis Service accepts gene lists for expression data analysis through REST endpoints. Submit gene identifiers and expression values; the service maps them to pathways and returns enrichment statistics without requiring specific file format preprocessing.

Yes, cross-species pathway comparison is built into Reactome's REST API. The Content Service retrieves orthologous pathway information and the Analysis Service projects gene data across species, enabling comparative systems biology and pathway conservation studies.