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. 2010 Jul 15;26(14):1806-7.
doi: 10.1093/bioinformatics/btq265. Epub 2010 May 21.

FuncBase: a resource for quantitative gene function annotation

John E Beaver  1 , Murat Tasan, Francis D Gibbons, Weidong Tian, Timothy R Hughes, Frederick P Roth
Affiliations

FuncBase: a resource for quantitative gene function annotation

John E Beaver et al. Bioinformatics. .

Abstract

Summary: 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.

Availability: FuncBase as well as all underlying data and annotations are freely available via http://func.med.harvard.edu/

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Figures

Fig. 1.
Fig. 1.
Search (A) for an annotation report of a GO term (B) or gene (C). GO term reports show evidence of functional relationships (D) and function-related gene properties (E). The user may provide opinions (F) on any quantitative annotation. Gene reports also present evidence based on functional relationships (G).
See this image and copyright information in PMC

References

    1. Ashburner M, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 2000;25:25–29. - PMC - PubMed
    1. Bult CJ, et al. The mouse genome database (MGD): mouse biology and model systems. Nucleic Acids Res. 2008;36(Database issue) - PMC - PubMed
    1. Cherry J, et al. SGD: Saccharomyces Genome Database. Nucleic Acids Res. 1998;26:73–79. - PMC - PubMed
    1. Maglott D, et al. Entrez Gene: gene-centered information at NCBI. Nucleic Acids Res. 2005;33(Database issue) - PMC - PubMed
    1. Massjouni N, et al. VIRGO: computational prediction of gene functions. Nucleic Acids Res. 2006;34(Suppl. 2):W340–W344. - PMC - PubMed

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