Bio Workflows Expression To Pathways

What it does

This skill converts gene expression data into pathway enrichment analyses. It leverages bio workflows to identify statistically significant pathways associated with a given set of genes and their corresponding expression levels. The output provides insights into biological processes potentially affected by the observed changes in gene expression.

When to use it

• Analyzing RNA-seq data to understand disease mechanisms.
• Identifying potential drug targets based on pathway dysregulation.
• Interpreting results from genomic studies and linking genes to functional pathways.
• Exploring relationships between different experimental conditions by comparing pathway enrichment profiles.

Key capabilities

• Pathway enrichment analysis
• Statistical significance testing
• Integration of gene expression data
• Bio workflow execution

Example prompts

• "Analyze the following list of upregulated genes: [list of gene IDs] and identify enriched pathways."
• “Given this RNA-seq dataset, which biological pathways are significantly altered?”
• "Perform pathway enrichment analysis on these differentially expressed genes between control and treatment groups: [gene expression data]."

Tips & gotchas

This skill requires a valid list of gene identifiers (e.g., Ensembl IDs, Gene Symbols) as input. The accuracy of the results depends heavily on the quality and completeness of the provided gene expression data.