FuncBase: a resource for quantitative gene function annotation

被引：12

作者：

Beaver, John E. ^{[1
]}

Tasan, Murat ^{[1
]}

Gibbons, Francis D. ^{[1
]}

Tian, Weidong ^{[1
]}

Hughes, Timothy R. ^{[2
,3
]}

Roth, Frederick P. ^{[1
,4
]}

机构：

[1] Harvard Univ, Sch Med, Dept Biol Chem & Mol Pharmacol, Boston, MA 02115 USA

[2] Univ Toronto, Donnelly Ctr Cellular & Biomol Res, Toronto, ON M5S 3E1, Canada

[3] Univ Toronto, Banting & Best Dept Med Res, Toronto, ON M5S 3E1, Canada

[4] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA

来源：

BIOINFORMATICS | 2010年 / 26卷 / 14期

关键词：

PREDICTION; ASSOCIATION;

D O I：

10.1093/bioinformatics/btq265

中图分类号：

Q5 [生物化学];

学科分类号：

070307 [化学生物学];

摘要：

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.

引用

页码：1806 / 1807

页数：2

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