FungiFun 2.2.8 BETA

FungiFun 2.2.8 BETA performs functional enrichment analysis of fungal genes and proteins to identify characteristic functional categories and pathways from omics-derived candidate gene lists.


Key Features:

  • Systematic Enrichment Analysis: Performs systematic enrichment analysis of candidate gene and protein lists to identify characteristic functional patterns.
  • Functional Annotation Methods: Utilizes FunCat (Functional Catalogue), GO (Gene Ontology), and KEGG (Kyoto Encyclopedia of Genes and Genomes) classification systems to categorize genes and proteins at multiple levels.
  • Data Management and Coverage: Employs a revised data management system and supports functional enrichment analysis across 298 fungal strains published in standard databases.
  • Omics Input Support: Processes omics-derived gene lists for applications in systems biology and functional genomics.

Scientific Applications:

  • Systems Biology and Functional Genomics: Enables extraction of biological meaning from complex omics datasets in fungal research.
  • Gene Function and Pathway Characterization: Supports identification of gene functions, metabolic pathways, and cellular processes in fungi.
  • Analysis of Candidate Gene Lists: Facilitates detection of characteristic patterns within candidate gene lists derived from omics experiments.

Methodology:

Integrates data from multiple fungal strains and leverages established databases and classification systems (FunCat, GO, KEGG) to perform functional annotation and enrichment analysis.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R, JavaScript, Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Priebe S, Kreisel C, Horn F, Guthke R, Linde J. FungiFun2: a comprehensive online resource for systematic analysis of gene lists from fungal species. Bioinformatics. 2014;31(3):445-446. doi:10.1093/bioinformatics/btu627. PMID:25294921. PMCID:PMC4308660.

Documentation

Links