Identifying Positioned Nucleosomes with Epigenetic Marks in Human from ChIP-Seq
<p>Abstract</p> <p>Background</p> <p><it>In vivo </it>positioning and covalent modifications of nucleosomes play an important role in epigenetic regulation, but genome-wide studies of positioned nucleosomes and their modifications in human still remain limit...
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doaj-569282fac4184658a068db166284784d2020-11-24T21:44:38ZengBMCBMC Genomics1471-21642008-11-019153710.1186/1471-2164-9-537Identifying Positioned Nucleosomes with Epigenetic Marks in Human from ChIP-SeqLei YingSong Jun SShin HyunjinZhang YongLiu X Shirley<p>Abstract</p> <p>Background</p> <p><it>In vivo </it>positioning and covalent modifications of nucleosomes play an important role in epigenetic regulation, but genome-wide studies of positioned nucleosomes and their modifications in human still remain limited.</p> <p>Results</p> <p>This paper describes a novel computational framework to efficiently identify positioned nucleosomes and their histone modification profiles from nucleosome-resolution histone modification ChIP-Seq data. We applied the algorithm to histone methylation ChIP-Seq data in human CD4<sup>+ </sup>T cells and identified over 438,000 positioned nucleosomes, which appear predominantly at functionally important regions such as genes, promoters, DNase I hypersensitive regions, and transcription factor binding sites. Our analysis shows the identified nucleosomes play a key role in epigenetic gene regulation within those functionally important regions via their positioning and histone modifications.</p> <p>Conclusion</p> <p>Our method provides an effective framework for studying nucleosome positioning and epigenetic marks in mammalian genomes. The algorithm is open source and available at <url>http://liulab.dfci.harvard.edu/NPS/</url>.</p> http://www.biomedcentral.com/1471-2164/9/537 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lei Ying Song Jun S Shin Hyunjin Zhang Yong Liu X Shirley |
spellingShingle |
Lei Ying Song Jun S Shin Hyunjin Zhang Yong Liu X Shirley Identifying Positioned Nucleosomes with Epigenetic Marks in Human from ChIP-Seq BMC Genomics |
author_facet |
Lei Ying Song Jun S Shin Hyunjin Zhang Yong Liu X Shirley |
author_sort |
Lei Ying |
title |
Identifying Positioned Nucleosomes with Epigenetic Marks in Human from ChIP-Seq |
title_short |
Identifying Positioned Nucleosomes with Epigenetic Marks in Human from ChIP-Seq |
title_full |
Identifying Positioned Nucleosomes with Epigenetic Marks in Human from ChIP-Seq |
title_fullStr |
Identifying Positioned Nucleosomes with Epigenetic Marks in Human from ChIP-Seq |
title_full_unstemmed |
Identifying Positioned Nucleosomes with Epigenetic Marks in Human from ChIP-Seq |
title_sort |
identifying positioned nucleosomes with epigenetic marks in human from chip-seq |
publisher |
BMC |
series |
BMC Genomics |
issn |
1471-2164 |
publishDate |
2008-11-01 |
description |
<p>Abstract</p> <p>Background</p> <p><it>In vivo </it>positioning and covalent modifications of nucleosomes play an important role in epigenetic regulation, but genome-wide studies of positioned nucleosomes and their modifications in human still remain limited.</p> <p>Results</p> <p>This paper describes a novel computational framework to efficiently identify positioned nucleosomes and their histone modification profiles from nucleosome-resolution histone modification ChIP-Seq data. We applied the algorithm to histone methylation ChIP-Seq data in human CD4<sup>+ </sup>T cells and identified over 438,000 positioned nucleosomes, which appear predominantly at functionally important regions such as genes, promoters, DNase I hypersensitive regions, and transcription factor binding sites. Our analysis shows the identified nucleosomes play a key role in epigenetic gene regulation within those functionally important regions via their positioning and histone modifications.</p> <p>Conclusion</p> <p>Our method provides an effective framework for studying nucleosome positioning and epigenetic marks in mammalian genomes. The algorithm is open source and available at <url>http://liulab.dfci.harvard.edu/NPS/</url>.</p> |
url |
http://www.biomedcentral.com/1471-2164/9/537 |
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