FungiFun2: a comprehensive online resource for systematic analysis of gene lists from fungal species
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- Steffen Priebe
- Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany
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- Christian Kreisel
- Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany
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- Fabian Horn
- Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany
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- Reinhard Guthke
- Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany
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- Jörg Linde
- Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany
Description
<jats:title>Abstract</jats:title><jats:p>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.</jats:p><jats:p>Availability and implementation: FungiFun2, examples and tutorials are publicly available at https://elbe.hki-jena.de/fungifun/ .</jats:p><jats:p>Contact : steffen.priebe@hki-jena.de or joerg.linde@hki-jena.de</jats:p>
Journal
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- Bioinformatics
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Bioinformatics 31 (3), 445-446, 2014-10-07
Oxford University Press (OUP)
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Details 詳細情報について
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- CRID
- 1364233270204891520
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- ISSN
- 13674811
- 13674803
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- Data Source
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- Crossref