Inferring transcriptional modules from ChIP-chip, motif and microarray data

被引：75
|
作者：
Lemmens, Karen
Dhollander, Thomas
De Bie, Tijl
Monsieurs, Pieter
Engelen, Kristof
Smets, Bart
Winderickx, Joris
De Moor, Bart
Marchal, Kathleen
机构：
[1] Katholieke Univ Leuven, BioI SCD, Dept Elect Engn, B-3001 Heverlee, Belgium
[2] Katholieke Univ Leuven, Dept Psychol, Res Grp Quantitat Psychol, B-3000 Louvain, Belgium
[3] Katholieke Univ Leuven, Dept Biol, Mol Physiol Plants & Microorganisms Sect, B-3001 Heverlee, Belgium
[4] Katholieke Univ Leuven, CMPG, Dept Microbial & Mol Syst, B-3001 Heverlee, Belgium
来源：
GENOME BIOLOGY | 2006年 / 7卷 / 05期
关键词：
D O I：
10.1186/gb-2006-7-5-r37
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
ReMoDiscovery' is an intuitive algorithm to correlate regulatory programs with regulators and corresponding motifs to a set of co-expressed genes. It exploits in a concurrent way three independent data sources: ChIP-chip data, motif information and gene expression profiles. When compared to published module discovery algorithms, ReMoDiscovery is fast and easily tunable. We evaluated our method on yeast data, where it was shown to generate biologically meaningful findings and allowed the prediction of potential novel roles of transcriptional regulators.
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页数：14
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