title: FuncBase: a resource for quantitative gene function annotation.
abstract: CONCLUSIONS
  Computational gene function prediction can serve to focus experimental resources on high-priority experimental tasks. FuncBase is a web resource for viewing quantitative machine learning-based gene function annotations. Quantitative annotations of genes, including fungal and mammalian genes, with Gene Ontology terms are accompanied by a community feedback system. Evidence underlying function annotations is shown. For example, a custom Cytoscape viewer shows functional linkage graphs relevant to the gene or function of interest. FuncBase provides links to external resources, and may be accessed directly or via links from species-specific databases.
  
  
  BACKGROUND
  FuncBase as well as all underlying data and annotations are freely available via http://func.med.harvard.edu/
authors.affiliation: Department of Biological Chemistry & Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
authors.forename: John E
authors.initials: JE
authors.lastname: Beaver
authors.forename: Murat
authors.initials: M
authors.lastname: Tasan
authors.forename: Francis D
authors.initials: FD
authors.lastname: Gibbons
authors.forename: Weidong
authors.initials: W
authors.lastname: Tian
authors.forename: Timothy R
authors.initials: TR
authors.lastname: Hughes
authors.forename: Frederick P
authors.initials: FP
authors.lastname: Roth
mesh_terms: D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D005796:Genes / Q000502:physiology*; D020407:Internet; D012984:Software; D018875:Vocabulary, Controlled