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Predicting chromatin organization using histone marks
Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq dat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549084/ https://www.ncbi.nlm.nih.gov/pubmed/26272203 http://dx.doi.org/10.1186/s13059-015-0740-z |
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author | Huang, Jialiang Marco, Eugenio Pinello, Luca Yuan, Guo-Cheng |
author_facet | Huang, Jialiang Marco, Eugenio Pinello, Luca Yuan, Guo-Cheng |
author_sort | Huang, Jialiang |
collection | PubMed |
description | Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries. Our predictions provide a useful guide for the exploration of chromatin organization. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0740-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4549084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45490842015-08-26 Predicting chromatin organization using histone marks Huang, Jialiang Marco, Eugenio Pinello, Luca Yuan, Guo-Cheng Genome Biol Method Genome-wide mapping of three dimensional chromatin organization is an important yet technically challenging task. To aid experimental effort and to understand the determinants of long-range chromatin interactions, we have developed a computational model integrating Hi-C and histone mark ChIP-seq data to predict two important features of chromatin organization: chromatin interaction hubs and topologically associated domain (TAD) boundaries. Our model accurately and robustly predicts these features across datasets and cell types. Cell-type specific histone mark information is required for prediction of chromatin interaction hubs but not for TAD boundaries. Our predictions provide a useful guide for the exploration of chromatin organization. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0740-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-14 2015 /pmc/articles/PMC4549084/ /pubmed/26272203 http://dx.doi.org/10.1186/s13059-015-0740-z Text en © Huang et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method Huang, Jialiang Marco, Eugenio Pinello, Luca Yuan, Guo-Cheng Predicting chromatin organization using histone marks |
title | Predicting chromatin organization using histone marks |
title_full | Predicting chromatin organization using histone marks |
title_fullStr | Predicting chromatin organization using histone marks |
title_full_unstemmed | Predicting chromatin organization using histone marks |
title_short | Predicting chromatin organization using histone marks |
title_sort | predicting chromatin organization using histone marks |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549084/ https://www.ncbi.nlm.nih.gov/pubmed/26272203 http://dx.doi.org/10.1186/s13059-015-0740-z |
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