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Ann N Y Acad Sci. 2009 Mar;1158:29-35. doi: 10.1111/j.1749-6632.2008.03746.x.

The condition-dependent transcriptional network in Escherichia coli.

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1
Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium.

Abstract

Thanks to the availability of high-throughput omics data, bioinformatics approaches are able to hypothesize thus-far undocumented genetic interactions. However, due to the amount of noise in these data, inferences based on a single data source are often unreliable. A popular approach to overcome this problem is to integrate different data sources. In this study, we describe DISTILLER, a novel framework for data integration that simultaneously analyzes microarray and motif information to find modules that consist of genes that are co-expressed in a subset of conditions, and their corresponding regulators. By applying our method on publicly available data, we evaluated the condition-specific transcriptional network of Escherichia coli. DISTILLER confirmed 62% of 736 interactions described in RegulonDB, and 278 novel interactions were predicted.

[Indexed for MEDLINE]

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