Characterizing gene sets with FuncAssociate

被引：342

作者：

Berriz, GF

King, OD

Bryant, B

Sander, C

Roth, FP

机构：

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

[2] Millennium Pharmaceut, Cambridge, MA 02139 USA

[3] Mem Sloan Kettering Canc Ctr, New York, NY 10021 USA

来源：

BIOINFORMATICS | 2003年 / 19卷 / 18期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1093/bioinformatics/btg363

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

FuncAssociate is a web-based tool to help researchers use Gene Ontology attributes to characterize large sets of genes derived from experiment. Distinguishing features of FuncAssociate include the ability to handle ranked input lists, and a Monte Carlo simulation approach that is more appropriate to determine significance than other methods, such as Bonferroni or Sidak p-value correction. FuncAssociate currently supports 10 organisms (Vibrio cholerae, Shewanella oneidensis, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Arabidopsis thaliana, Caenorhaebditis elegans, Drosophila melanogaster, Mus musculus, Rattus norvegicus and Homo sapiens).

引用

页码：2502 / 2504

页数：3

共 9 条

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