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. 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

Steffen Priebe  1 , Christian Kreisel  1 , Fabian Horn  1 , Reinhard Guthke  1 , Jörg Linde  1
Affiliations

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

Steffen Priebe et al. Bioinformatics. .

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.

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Figures

Fig. 1.
Fig. 1.
Overview of FungiFun2 functionality. (A) With help of a semi-automatic procedure, gene to category associations for three ontologies as well as gene names and functions are downloaded. The numbers in the Venn diagram indicate the number of available strains. (B) The user selects a strain and ontology. (C) On the Web server, gene to category association and significance tests are performed. (D) Schematic visualization of the output (dynamical figures, charts and tables) is shown
See this image and copyright information in PMC

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