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Microarrays Research Today is a free monthly online journal that collates and summarizes the latest research about Microarrays, including details on experiments, designs, statistics, analysis, software.


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

Lemmens K, Dhollander T, De Bie T, Monsieurs P, Engelen K, Smets B, Winderickx J, De Moor B, Marchal K

BIOI@SCD, Department of Electrical Engineering, KU Leuven, Kasteelpark Arenberg, B-3001 Heverlee, Belgium. kathleen.marchal@biw.kuleuven.be.

ABSTRACT : '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.

Published 8 May 2006 in Genome Biol, 7(5): R37.
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Microarrays Books

Protein Arrays: Methods and Protocols (Methods in Molecular Biology)

Protein Arrays: Methods and Protocols (Methods in Molecular Biology)