tooluniverse-gene-enrichment

What it does

This skill enables AI agents to perform gene enrichment analysis, helping researchers identify biological themes within lists of genes. It processes input data to reveal significant functional categories or pathways associated with specific genetic markers.

When to use it

• Analyzing output from high-throughput sequencing experiments like RNA-seq or microarrays.
• Interpreting results from CRISPR screens to understand gene function and pathway involvement.
• Validating candidate genes identified in genome-wide association studies (GWAS).
• Generating hypotheses about disease mechanisms by connecting gene lists to known biological processes.

Key capabilities

• Performs statistical enrichment analysis on user-provided gene lists.
• Identifies overrepresented biological pathways and functional categories.
• Integrates with the ToolUniverse ecosystem for seamless AI agent workflows.

Example prompts

• "Run a gene enrichment analysis on this list of 500 differentially expressed genes to find top pathways."
• "What biological functions are significantly enriched in my CRISPR screen hit list?"
• "Interpret these GWAS results by performing enrichment analysis on the associated candidate genes."

Tips & gotchas

Ensure your input gene list is formatted correctly according to the tool's requirements for optimal statistical accuracy. Results should always be validated against current literature, as biological databases are frequently updated with new findings.