标题:An integrated toolkit for accurate prediction and analysis of cis-regulatory motifs at a genome scale
作者:Ma, Qin;Liu, Bingqiang;Zhou, Chuan;Yin, Yanbin;Li, Guojun;Xu, Ying
作者机构:[Ma, Q] Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia 更多
通讯作者:Xu, Y
通讯作者地址:[Xu, Y]Univ Georgia, Inst Bioinformat, Dept Biochem & Mol Biol, Computat Syst Biol Lab, Athens, GA 30602 USA.
来源:Bioinformatics
出版年:2013
卷:29
期:18
页码:2261-2268
DOI:10.1093/bioinformatics/btt397
摘要:Motivation: We present an integrated toolkit, BoBro2.0, for prediction and analysis of cis-regulatory motifs. This toolkit can (i) reliably identify statistically significant cis-regulatory motifs at a genome scale; (ii) accurately scan for all motif instances of a query motif in specified genomic regions using a novel method for P-value estimation; (iii) provide highly reliable comparisons and clustering of identified motifs, which takes into consideration the weak signals from the flanking regions of the motifs; and (iv) analyze co-occurring motifs in the regulatory regions. Results: We have carried out systematic comparisons between motif predictions using BoBro2.0 and the MEME package. The comparison results on Escherichia coli K12 genome and the human genome show that BoBro2.0 can identify the statistically significant motifs at a genome scale more efficiently, identify motif instances more accurately and get more reliable motif clusters than MEME. In addition, BoBro2.0 provides correlational analyses among the identified motifs to facilitate the inference of joint regulation relationships of transcription factors.
收录类别:SCOPUS;SCIE
WOS核心被引频次:13
Scopus被引频次:14
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883467503&doi=10.1093%2fbioinformatics%2fbtt397&partnerID=40&md5=41edc9522fc93261adcf5eae9bc1e1d8
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