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

'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...

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Detalles Bibliográficos
Autores principales: Lemmens, Karen, Dhollander, Thomas, De Bie, Tijl, Monsieurs, Pieter, Engelen, Kristof, Smets, Bart, Winderickx, Joris, De Moor, Bart, Marchal, Kathleen
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779513/
https://www.ncbi.nlm.nih.gov/pubmed/16677396
http://dx.doi.org/10.1186/gb-2006-7-5-r37
Descripción
Sumario:'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.