Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology-Hans-Knöll-Institute (HKI), Jena, Germany.
Fungal Genet Biol. 2011 Apr;48(4):353-8. doi: 10.1016/j.fgb.2010.11.001. Epub 2010 Nov 10.
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/.
FungiFun 为真菌基因或蛋白质赋予功能注释,并进行基因集富集分析。基于三种不同的分类方法(FunCat、GO 和 KEGG),FungiFun 对不同注释详细程度的几种真菌物种的基因和蛋白质进行分类。它是基于网络的,无需任何编程技能即可供用户使用。FungiFun 是第一个提供包括 FunCat 分类在内的基因集富集分析的工具。使用 FungiFun 分析了曲霉属烟曲霉和白色念珠菌的两个生物数据集,概述了该工具的用途和功能。FungiFun 可免费访问,网址为 https://www.omnifung.hki-jena.de/FungiFun/。