Characterizing gene sets with FuncAssociate

Characterizing gene sets with FuncAssociate
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DOI:
10.1093/bioinformatics/btg363
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发表时间:
2003-12-12
期刊:
影响因子:
5.8
通讯作者:
Roth, FP
Roth, FP
中科院分区:
生物学3区
文献类型:
--
作者:
Berriz, GF;King, OD;Roth, FP

文献摘要

被引文献

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FuncAssociate是一个基于网络的工具,帮助研究人员使用基因本体论属性来表征来自实验的大量基因。FuncAssociate的显著功能包括处理已排序的输入列表的能力,以及比Bonferroni或Sidak p值校正等其他方法更适合确定重要性的蒙特卡罗模拟方法。FuncAssociate目前支持10种生物(霍乱弧菌、希万氏菌、酿酒酵母、裂殖酵母、拟南芥、秀丽线虫、黑腹果蝇、小鼠、褐家鼠和智人)。
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).