title: FungiFun: a web-based application for functional categorization of fungal genes and proteins.
abstract: FungiFun assigns functional annotations to fungal genes or proteins and performs gene set enrichment analysis. Based on three different classification methods (FunCat, GO and KEGG), FungiFun categorizes genes and proteins for several fungal species on different levels of annotation detail. It is web-based and accessible to users without any programming skills. FungiFun is the first tool offering gene set enrichment analysis including the FunCat categorization. Two biological datasets for Aspergillus fumigatus and Candida albicans were analyzed using FungiFun, providing an overview of the usage and functions of the tool. FungiFun is freely accessible at https://www.omnifung.hki-jena.de/FungiFun/.
authors.affiliation: Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology-Hans-Knöll-Institute (HKI), Jena, Germany. steffen.priebe@hki-jena.de
authors.forename: Steffen
authors.initials: S
authors.lastname: Priebe
authors.forename: Jörg
authors.initials: J
authors.lastname: Linde
authors.forename: Daniela
authors.initials: D
authors.lastname: Albrecht
authors.forename: Reinhard
authors.initials: R
authors.lastname: Guthke
authors.forename: Axel A
authors.initials: AA
authors.lastname: Brakhage
mesh_terms: D001232:Aspergillus fumigatus / Q000235:genetics; D002176:Candida albicans / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D005656:Fungal Proteins / Q000235:genetics* / Q000502:physiology*; D005800:Genes, Fungal; D020407:Internet
chemical_list: D005656:Fungal Proteins