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.