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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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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
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author Lemmens, Karen
Dhollander, Thomas
De Bie, Tijl
Monsieurs, Pieter
Engelen, Kristof
Smets, Bart
Winderickx, Joris
De Moor, Bart
Marchal, Kathleen
author_facet Lemmens, Karen
Dhollander, Thomas
De Bie, Tijl
Monsieurs, Pieter
Engelen, Kristof
Smets, Bart
Winderickx, Joris
De Moor, Bart
Marchal, Kathleen
author_sort Lemmens, Karen
collection PubMed
description '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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spelling pubmed-17795132007-01-19 Inferring transcriptional modules from ChIP-chip, motif and microarray data Lemmens, Karen Dhollander, Thomas De Bie, Tijl Monsieurs, Pieter Engelen, Kristof Smets, Bart Winderickx, Joris De Moor, Bart Marchal, Kathleen Genome Biol Method '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. BioMed Central 2006 2006-05-05 /pmc/articles/PMC1779513/ /pubmed/16677396 http://dx.doi.org/10.1186/gb-2006-7-5-r37 Text en Copyright © 2006 Lemmens et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Lemmens, Karen
Dhollander, Thomas
De Bie, Tijl
Monsieurs, Pieter
Engelen, Kristof
Smets, Bart
Winderickx, Joris
De Moor, Bart
Marchal, Kathleen
Inferring transcriptional modules from ChIP-chip, motif and microarray data
title Inferring transcriptional modules from ChIP-chip, motif and microarray data
title_full Inferring transcriptional modules from ChIP-chip, motif and microarray data
title_fullStr Inferring transcriptional modules from ChIP-chip, motif and microarray data
title_full_unstemmed Inferring transcriptional modules from ChIP-chip, motif and microarray data
title_short Inferring transcriptional modules from ChIP-chip, motif and microarray data
title_sort inferring transcriptional modules from chip-chip, motif and microarray data
topic Method
url 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
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