FungiFun: a web-based application for functional categorization of fungal genes and proteins
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BiBTeXFungiFun 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/.
SEEK ID: https://funginet.hki-jena.de/publications/75
PubMed ID: 21073976
Projects: INF
Publication type: Not specified
Journal: Fungal Genet Biol
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Date Published: 10th Nov 2010
Registered Mode: Not specified
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Created: 24th May 2016 at 11:45
Last updated: 17th Jan 2024 at 10:24
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I study the analysis of high-throughput transcriptom and genome data.
For transcritom data (RNA-Seq, microarrays), I perform preprocessing and statistics to identify differentially expressed genes, as well as their functional analysis. My main focus is the analysis of transcriptom data from human fungal pathogens in infection related conditions (f.e. nutrient limitation) as well as during the interaction with the host (dual RNA-seq). Experimental data is used to set up mathematical models for ...
The yeast Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of life-threatening invasive mycoses in Europe. Despite the increasing incidence of these infections, the current diagnosis is still difficult and often too late, and options for therapies are limited. Moreover, A. fumigatus and C. albicans have developed multiple sophisticated, specific and unique pathogenicity mechanisms. Many of these mechanisms are not well understood. Research on ...
Projects: FungiNet total, FungiNet A - Aspergillus projects, FungiNet B - Bioinformatics projects, FungiNet C - Candida projects, INF, A1, A2, A3, A4 (E), A5, B1, B2, B3 (E), B4, C1, C2, C3, C4 (E), C5, C6 (E), Z2, Z1, B5, A6, A7, A8, C7
Web page: http://www.funginet.de/home.html
Integrated database for experimental data
Within the Collaborative Research Center / Transregio 124 “Pathogenic fungi and their human host: Networks of Interaction – FungiNet”, the INF project is responsible to analyse and share OMICS data. Databases help to foster the collaboration within FungiNet as an important point of the Collaborative Research Center. Therefore, we set-up two databases:
a) SEEK is a web-based platform to find, share and exchange unstructured data and knowledge, such as ...
