reactome-database

Pathway enrichment analysis is performed by submitting your gene list to the Reactome API for overrepresentation analysis. This allows you to identify significantly altered biological pathways by mapping your gene expression data directly to known molecular interactions and pathway mappings.

Reactome pathway analysis queries the Reactome REST API to retrieve biological pathway data and perform enrichment analysis. It works by mapping diverse gene identifiers to specific molecular interactions and pathways, providing visualization URLs to help interpret systems biology research results.

Yes, the reactome2py package supports diverse identifier types for gene-pathway mapping and molecular interaction exploration. It queries the Reactome REST API to retrieve specific pathway information, ensuring your identifiers are correctly mapped for systems biology analysis.

Yes, you can analyze a list of differentially expressed genes from an RNA-Seq experiment to identify key biological pathways significantly altered in a disease state. The skill handles gene expression data by performing overrepresentation and expression analysis via the Reactome API.

The best way to retrieve pathway information and visualization URLs is by querying the Reactome REST API directly. This skill facilitates data retrieval for specific pathways and automatically provides visualization URLs for your analysis results, streamlining biological pathway exploration.

Yes, the requests library is required as a dependency alongside reactome2py to query the Reactome REST API. These dependencies enable the skill to execute biological pathway analysis, retrieve molecular interactions, and perform gene-pathway mapping successfully.