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MONKEY:使用结合位点特异性进化模型在多序列比对中识别保守转录因子结合位点。

MONKEY: identifying conserved transcription-factor binding sites in multiple alignments using a binding site-specific evolutionary model.

作者信息

Moses Alan M, Chiang Derek Y, Pollard Daniel A, Iyer Venky N, Eisen Michael B

机构信息

Graduate Group in Biophysics, University of California, Berkeley, CA 94720, USA.

出版信息

Genome Biol. 2004;5(12):R98. doi: 10.1186/gb-2004-5-12-r98. Epub 2004 Nov 30.

Abstract

We introduce a method (MONKEY) to identify conserved transcription-factor binding sites in multispecies alignments. MONKEY employs probabilistic models of factor specificity and binding-site evolution, on which basis we compute the likelihood that putative sites are conserved and assign statistical significance to each hit. Using genomes from the genus Saccharomyces, we illustrate how the significance of real sites increases with evolutionary distance and explore the relationship between conservation and function.

摘要

我们介绍了一种方法(MONKEY),用于在多物种比对中识别保守的转录因子结合位点。MONKEY采用了因子特异性和结合位点进化的概率模型,在此基础上我们计算推定位点保守的可能性,并为每个命中结果赋予统计学意义。利用酿酒酵母属的基因组,我们阐述了真实位点的显著性如何随进化距离增加,并探讨了保守性与功能之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1434/545801/41b6282aab4a/gb-2004-5-12-r98-1.jpg

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