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Bioinformatics. 2015 Feb 1;31(3):445-6. doi: 10.1093/bioinformatics/btu627. Epub 2014 Oct 7.

FungiFun2: a comprehensive online resource for systematic analysis of gene lists from fungal species.

Author information

1
Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany.

Abstract

SUMMARY:

Systematically extracting biological meaning from omics data is a major challenge in systems biology. Enrichment analysis is often used to identify characteristic patterns in candidate lists. FungiFun is a user-friendly Web tool for functional enrichment analysis of fungal genes and proteins. The novel tool FungiFun2 uses a completely revised data management system and thus allows enrichment analysis for 298 currently available fungal strains published in standard databases. FungiFun2 offers a modern Web interface and creates interactive tables, charts and figures, which users can directly manipulate to their needs.

AVAILABILITY AND IMPLEMENTATION:

FungiFun2, examples and tutorials are publicly available at https://elbe.hki-jena.de/fungifun/.

CONTACT:

steffen.priebe@hki-jena.de or joerg.linde@hki-jena.de.

PMID:
25294921
PMCID:
PMC4308660
DOI:
10.1093/bioinformatics/btu627
[Indexed for MEDLINE]
Free PMC Article

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