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Inferring nucleosome positions with their histone mark annotation from ChIP data

Motivation: The nucleosome is the basic repeating unit of chromatin. It contains two copies each of the four core histones H2A, H2B, H3 and H4 and about 147 bp of DNA. The residues of the histone proteins are subject to numerous post-translational modifications, such as methylation or acetylation. C...

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Autores principales: Mammana, Alessandro, Vingron, Martin, Chung, Ho-Ryun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3789549/
https://www.ncbi.nlm.nih.gov/pubmed/23981350
http://dx.doi.org/10.1093/bioinformatics/btt449
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author Mammana, Alessandro
Vingron, Martin
Chung, Ho-Ryun
author_facet Mammana, Alessandro
Vingron, Martin
Chung, Ho-Ryun
author_sort Mammana, Alessandro
collection PubMed
description Motivation: The nucleosome is the basic repeating unit of chromatin. It contains two copies each of the four core histones H2A, H2B, H3 and H4 and about 147 bp of DNA. The residues of the histone proteins are subject to numerous post-translational modifications, such as methylation or acetylation. Chromatin immunoprecipitiation followed by sequencing (ChIP-seq) is a technique that provides genome-wide occupancy data of these modified histone proteins, and it requires appropriate computational methods. Results: We present NucHunter, an algorithm that uses the data from ChIP-seq experiments directed against many histone modifications to infer positioned nucleosomes. NucHunter annotates each of these nucleosomes with the intensities of the histone modifications. We demonstrate that these annotations can be used to infer nucleosomal states with distinct correlations to underlying genomic features and chromatin-related processes, such as transcriptional start sites, enhancers, elongation by RNA polymerase II and chromatin-mediated repression. Thus, NucHunter is a versatile tool that can be used to predict positioned nucleosomes from a panel of histone modification ChIP-seq experiments and infer distinct histone modification patterns associated to different chromatin states. Availability: The software is available at http://epigen.molgen.mpg.de/nuchunter/. Contact: chung@molgen.mpg.de Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-37895492013-10-17 Inferring nucleosome positions with their histone mark annotation from ChIP data Mammana, Alessandro Vingron, Martin Chung, Ho-Ryun Bioinformatics Original Papers Motivation: The nucleosome is the basic repeating unit of chromatin. It contains two copies each of the four core histones H2A, H2B, H3 and H4 and about 147 bp of DNA. The residues of the histone proteins are subject to numerous post-translational modifications, such as methylation or acetylation. Chromatin immunoprecipitiation followed by sequencing (ChIP-seq) is a technique that provides genome-wide occupancy data of these modified histone proteins, and it requires appropriate computational methods. Results: We present NucHunter, an algorithm that uses the data from ChIP-seq experiments directed against many histone modifications to infer positioned nucleosomes. NucHunter annotates each of these nucleosomes with the intensities of the histone modifications. We demonstrate that these annotations can be used to infer nucleosomal states with distinct correlations to underlying genomic features and chromatin-related processes, such as transcriptional start sites, enhancers, elongation by RNA polymerase II and chromatin-mediated repression. Thus, NucHunter is a versatile tool that can be used to predict positioned nucleosomes from a panel of histone modification ChIP-seq experiments and infer distinct histone modification patterns associated to different chromatin states. Availability: The software is available at http://epigen.molgen.mpg.de/nuchunter/. Contact: chung@molgen.mpg.de Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2013-10-15 2013-08-26 /pmc/articles/PMC3789549/ /pubmed/23981350 http://dx.doi.org/10.1093/bioinformatics/btt449 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Papers
Mammana, Alessandro
Vingron, Martin
Chung, Ho-Ryun
Inferring nucleosome positions with their histone mark annotation from ChIP data
title Inferring nucleosome positions with their histone mark annotation from ChIP data
title_full Inferring nucleosome positions with their histone mark annotation from ChIP data
title_fullStr Inferring nucleosome positions with their histone mark annotation from ChIP data
title_full_unstemmed Inferring nucleosome positions with their histone mark annotation from ChIP data
title_short Inferring nucleosome positions with their histone mark annotation from ChIP data
title_sort inferring nucleosome positions with their histone mark annotation from chip data
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3789549/
https://www.ncbi.nlm.nih.gov/pubmed/23981350
http://dx.doi.org/10.1093/bioinformatics/btt449
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