AllEnricher
AllEnricher performs gene set function enrichment analysis for model and non-model species by integrating multiple public resources to interpret gene lists such as differentially expressed genes, co-expressed gene sets, or genes with differential epigenomic modifications.
Key Features:
- Multi-Species Compatibility: Supports functional enrichment analysis for both model organisms and non-model species.
- User-Defined Libraries: Uses user-defined libraries that can be defined and updated for tailored analyses.
- Supported Input Types: Accepts gene lists derived from differential gene expression analysis, co-expression analysis, and genes with differential epigenomic modifications.
- Comprehensive Functional Interpretation: Integrates annotations from Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, Disease Ontology (DO), and DisGeNET for multi-dimensional functional classification.
- Up-to-Date Data Integration: Incorporates current data from multiple public databases to inform enrichment results.
Scientific Applications:
- Functional Genomics: Interprets large gene lists to identify enriched biological functions and annotations.
- Pathway and Disease Association Analysis: Identifies enriched pathways and disease-associated annotations using GO, KEGG, Reactome, DO, and DisGeNET.
- Cross-Species Comparative Studies: Enables enrichment analyses across diverse species, supporting comparative and non-model organism research.
Methodology:
Calculates gene set function enrichment using user-defined libraries that are regularly updated and integrates annotations from GO, KEGG, Reactome, DO, and DisGeNET to provide multi-dimensional functional classifications.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- Shell, Perl, R
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2021
Operations
Publications
Zhang D, Hu Q, Liu X, Zou K, Sarkodie EK, Liu X, Gao F. AllEnricher: a comprehensive gene set function enrichment tool for both model and non-model species. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-3408-y. PMID:32183716. PMCID:PMC7076970.