Fuento
Fuento performs functional enrichment analysis of gene expression data to identify enriched biological functions and pathways.
Key Features:
- Functional enrichment analysis: Performs enrichment analysis on gene expression datasets to detect overrepresented biological terms and pathways.
- Gene expression focus: Primarily targeted at analyses of gene expression data to derive functional insights.
- Multifunctional analyses: Supports a wide range of functional enrichment analyses across different annotation sets and categories.
- Implementation: Implemented in C++ and optimized for performance and flexibility.
- Platform support: Operates on Linux and OS X environments.
Scientific Applications:
- Gene function annotation: Infers functions of genes based on enrichment of annotated terms in expression-derived gene sets.
- Pathway and disease mechanism identification: Identifies pathways and biological processes potentially involved in disease mechanisms from expression data.
- Regulatory network exploration: Supports exploration of regulatory networks by linking expression changes to functional categories and pathways.
Methodology:
Performs computational functional enrichment analyses on gene expression datasets and is implemented in C++ optimized for performance and flexibility.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- C++
- Added:
- 6/6/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Weichselbaum D, Zagrovic B, Polyansky AA. <i>Fuento</i>: functional enrichment for bioinformatics. Bioinformatics. 2017;33(16):2604-2606. doi:10.1093/bioinformatics/btx179. PMID:28379299. PMCID:PMC5870553.