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

被引：0
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作者：
Karen Lemmens
Thomas Dhollander
Tijl De Bie
Pieter Monsieurs
Kristof Engelen
Bart Smets
Joris Winderickx
Bart De Moor
Kathleen Marchal
机构：
[1] KU Leuven,BIOI@SCD, Department of Electrical Engineering
[2] KU Leuven,Research Group on Quantitative Psychology, Department of Psychology
[3] KU Leuven,Molecular Physiology of Plants and Micro
[4] KU Leuven,organisms Section, Biology Department
来源：
Genome Biology | / 7卷
关键词：
Additional Data File; Regulatory Program; Ribosome Biogenesis; Regulator Content; Filamentous Growth;
D O I：
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学科分类号：
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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