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go_bp_enrichment

Analyze gene lists to identify overrepresented biological processes using Gene Ontology enrichment, helping interpret gene expression data and uncover functional implications.

Instructions

Perform Gene Ontology (GO) Biological Process enrichment analysis to understand what biological functions and processes are overrepresented in your gene list. This tool helps researchers interpret gene expression data, identify statistically significant biological processes, and uncover functional implications of genes from RNA-seq, microarray, or other high-throughput experiments. Use this when you need to: analyze gene functions, find enriched biological processes, perform functional profiling of gene lists, understand molecular mechanisms, interpret differentially expressed genes (DEGs), discover key biological pathways, annotate gene lists functionally, characterize gene sets involved in specific phenotypes, connect genes to their biological roles, or investigate what your genes do. The tool performs over-representation analysis (ORA) using the Enrichr API and GO Biological Process 2025 database, returning only statistically significant terms (adjusted p-value < 0.05) to provide meaningful biological insights while managing context usage. Perfect for transcriptomics analysis, systems biology studies, drug target identification, biomarker discovery, and understanding disease mechanisms. For multi-library analysis across different databases (KEGG, Reactome, etc.), use enrichr_analysis instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
genesYesList of gene symbols to analyze for GO BP enrichment (e.g., ['TP53', 'BRCA1', 'EGFR']). Can be from DEG analysis, candidate gene lists, or any gene set of interest.
descriptionNoOptional description for the gene list to help track analysesGene list for GO BP enrichment
outputFileNoOptional path to save complete results as TSV file. If specified, ALL significant terms will be saved to this file, regardless of maxTerms limit.
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