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Genome-wide prediction of transcription factor binding sites using an integrated model

We present an integrated method called Chromia for the genome-wide identification of functional target loci of transcription factors. Designed to capture the characteristic patterns of transcription factor binding motif occurrences and the histone profiles associated with regulatory elements such as...

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Detalles Bibliográficos
Autores principales: Won, Kyoung-Jae, Ren, Bing, Wang, Wei
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2847719/
https://www.ncbi.nlm.nih.gov/pubmed/20096096
http://dx.doi.org/10.1186/gb-2010-11-1-r7
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author Won, Kyoung-Jae
Ren, Bing
Wang, Wei
author_facet Won, Kyoung-Jae
Ren, Bing
Wang, Wei
author_sort Won, Kyoung-Jae
collection PubMed
description We present an integrated method called Chromia for the genome-wide identification of functional target loci of transcription factors. Designed to capture the characteristic patterns of transcription factor binding motif occurrences and the histone profiles associated with regulatory elements such as promoters and enhancers, Chromia significantly outperforms other methods in the identification of 13 transcription factor binding sites in mouse embryonic stem cells, evaluated by both binding (ChIP-seq) and functional (RNA interference knockdown) experiments.
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spelling pubmed-28477192010-03-31 Genome-wide prediction of transcription factor binding sites using an integrated model Won, Kyoung-Jae Ren, Bing Wang, Wei Genome Biol Method We present an integrated method called Chromia for the genome-wide identification of functional target loci of transcription factors. Designed to capture the characteristic patterns of transcription factor binding motif occurrences and the histone profiles associated with regulatory elements such as promoters and enhancers, Chromia significantly outperforms other methods in the identification of 13 transcription factor binding sites in mouse embryonic stem cells, evaluated by both binding (ChIP-seq) and functional (RNA interference knockdown) experiments. BioMed Central 2010 2010-01-22 /pmc/articles/PMC2847719/ /pubmed/20096096 http://dx.doi.org/10.1186/gb-2010-11-1-r7 Text en Copyright ©2010 Won et al.; license 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
Won, Kyoung-Jae
Ren, Bing
Wang, Wei
Genome-wide prediction of transcription factor binding sites using an integrated model
title Genome-wide prediction of transcription factor binding sites using an integrated model
title_full Genome-wide prediction of transcription factor binding sites using an integrated model
title_fullStr Genome-wide prediction of transcription factor binding sites using an integrated model
title_full_unstemmed Genome-wide prediction of transcription factor binding sites using an integrated model
title_short Genome-wide prediction of transcription factor binding sites using an integrated model
title_sort genome-wide prediction of transcription factor binding sites using an integrated model
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2847719/
https://www.ncbi.nlm.nih.gov/pubmed/20096096
http://dx.doi.org/10.1186/gb-2010-11-1-r7
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