tooluniverse-gene-enrichment
Pass
Audited by Gen Agent Trust Hub on Oct 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill facilitates standard bioinformatics workflows for gene enrichment analysis. It relies on established Python libraries like gseapy and pandas for local computations and utilizes the vendor-provided tooluniverse framework to access reputable biological data services.
- [EXTERNAL_DOWNLOADS]: The skill references and interacts with well-known, authoritative scientific databases including PANTHER, STRING, and Reactome. These are standard resources in the bioinformatics community for pathway and Gene Ontology (GO) enrichment analysis.
- [DYNAMIC_EXECUTION]: Local data processing is performed using gseapy for Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). The skill follows best practices by implementing gene ID validation and multiple testing correction (e.g., Benjamini-Hochberg) to ensure scientific accuracy.
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