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.

Documentation