title: FungiFun2: a comprehensive online resource for systematic analysis of gene lists from fungal species.
abstract: CONCLUSIONS
  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.
  
  
  METHODS
  FungiFun2, examples and tutorials are publicly available at https://elbe.hki-jena.de/fungifun/.
  
  
  BACKGROUND
  steffen.priebe@hki-jena.de or joerg.linde@hki-jena.de.
authors.affiliation: Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany.
authors.forename: Steffen
authors.initials: S
authors.lastname: Priebe
authors.affiliation: Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany.
authors.forename: Christian
authors.initials: C
authors.lastname: Kreisel
authors.affiliation: Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany.
authors.forename: Fabian
authors.initials: F
authors.lastname: Horn
authors.affiliation: Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany.
authors.forename: Reinhard
authors.initials: R
authors.lastname: Guthke
authors.affiliation: Research Group Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Beutenbergstraße 11a, 07745 Jena, Germany.
authors.forename: Jörg
authors.initials: J
authors.lastname: Linde
mesh_terms: D016208:Databases, Factual; D005800:Genes, Fungal / Q000235:genetics*; D020407:Internet; D012984:Software; D049490:Systems Biology / Q000379:methods*