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/
%0 Journal Article
%1 Beaver2010FuncBase
%A Beaver, John E.
%A Tasan, Murat
%A Gibbons, Francis D.
%A Tian, Weidong
%A Hughes, Timothy R.
%A Roth, Frederick P.
%D 2010
%J Bioinformatics (Oxford, England)
%K annotation da database
%N 14
%P 1806--1807
%R 10.1093/bioinformatics/btq265
%T FuncBase: a resource for quantitative gene function annotation.
%U http://dx.doi.org/10.1093/bioinformatics/btq265
%V 26
%X 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/
@article{Beaver2010FuncBase,
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/},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Beaver, John E. and Tasan, Murat and Gibbons, Francis D. and Tian, Weidong and Hughes, Timothy R. and Roth, Frederick P.},
biburl = {https://www.bibsonomy.org/bibtex/26d9d2319fbb9e07264d9d12b85cf84cd/karthikraman},
citeulike-article-id = {7208566},
citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btq265},
citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/26/14/1806},
citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/20495000},
citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=20495000},
day = 15,
doi = {10.1093/bioinformatics/btq265},
interhash = {b216cc9248279946d93c9cf2c3186d88},
intrahash = {6d9d2319fbb9e07264d9d12b85cf84cd},
issn = {1367-4811},
journal = {Bioinformatics (Oxford, England)},
keywords = {annotation da database},
month = jul,
number = 14,
pages = {1806--1807},
pmid = {20495000},
posted-at = {2010-05-28 09:23:35},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {{FuncBase}: a resource for quantitative gene function annotation.},
url = {http://dx.doi.org/10.1093/bioinformatics/btq265},
volume = 26,
year = 2010
}