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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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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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. |
format | Text |
id | pubmed-2847719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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