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diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates
ChIP-seq is increasingly being used for genome-wide profiling of histone modification marks. It is of particular importance to compare ChIP-seq data of two different conditions, such as disease vs. control, and identify regions that show differences in ChIP enrichment. We have developed a powerful a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3677880/ https://www.ncbi.nlm.nih.gov/pubmed/23762400 http://dx.doi.org/10.1371/journal.pone.0065598 |
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author | Shen, Li Shao, Ning-Yi Liu, Xiaochuan Maze, Ian Feng, Jian Nestler, Eric J. |
author_facet | Shen, Li Shao, Ning-Yi Liu, Xiaochuan Maze, Ian Feng, Jian Nestler, Eric J. |
author_sort | Shen, Li |
collection | PubMed |
description | ChIP-seq is increasingly being used for genome-wide profiling of histone modification marks. It is of particular importance to compare ChIP-seq data of two different conditions, such as disease vs. control, and identify regions that show differences in ChIP enrichment. We have developed a powerful and easy to use program, called diffReps, to detect those differential sites from ChIP-seq data, with or without biological replicates. In addition, we have developed two useful tools for ChIP-seq analysis in the diffReps package: one for the annotation of the differential sites and the other for finding chromatin modification “hotspots”. diffReps is developed in PERL programming language and runs on all platforms as a command line script. We tested diffReps on two different datasets. One is the comparison of H3K4me3 between two human cell lines from the ENCODE project. The other is the comparison of H3K9me3 in a discrete region of mouse brain between cocaine- and saline-treated conditions. The results indicated that diffReps is a highly sensitive program in detecting differential sites from ChIP-seq data. |
format | Online Article Text |
id | pubmed-3677880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36778802013-06-12 diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates Shen, Li Shao, Ning-Yi Liu, Xiaochuan Maze, Ian Feng, Jian Nestler, Eric J. PLoS One Research Article ChIP-seq is increasingly being used for genome-wide profiling of histone modification marks. It is of particular importance to compare ChIP-seq data of two different conditions, such as disease vs. control, and identify regions that show differences in ChIP enrichment. We have developed a powerful and easy to use program, called diffReps, to detect those differential sites from ChIP-seq data, with or without biological replicates. In addition, we have developed two useful tools for ChIP-seq analysis in the diffReps package: one for the annotation of the differential sites and the other for finding chromatin modification “hotspots”. diffReps is developed in PERL programming language and runs on all platforms as a command line script. We tested diffReps on two different datasets. One is the comparison of H3K4me3 between two human cell lines from the ENCODE project. The other is the comparison of H3K9me3 in a discrete region of mouse brain between cocaine- and saline-treated conditions. The results indicated that diffReps is a highly sensitive program in detecting differential sites from ChIP-seq data. Public Library of Science 2013-06-10 /pmc/articles/PMC3677880/ /pubmed/23762400 http://dx.doi.org/10.1371/journal.pone.0065598 Text en © 2013 Shen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Shen, Li Shao, Ning-Yi Liu, Xiaochuan Maze, Ian Feng, Jian Nestler, Eric J. diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates |
title | diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates |
title_full | diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates |
title_fullStr | diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates |
title_full_unstemmed | diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates |
title_short | diffReps: Detecting Differential Chromatin Modification Sites from ChIP-seq Data with Biological Replicates |
title_sort | diffreps: detecting differential chromatin modification sites from chip-seq data with biological replicates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3677880/ https://www.ncbi.nlm.nih.gov/pubmed/23762400 http://dx.doi.org/10.1371/journal.pone.0065598 |
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