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DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies
The genome-wide study of epigenetic states requires the integrative analysis of histone modification ChIP-seq data. Here, we introduce an easy-to-use analytic framework to compare profiles of enrichment in histone modifications around classes of genomic elements, e.g. transcription start sites (TSS)...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4860309/ https://www.ncbi.nlm.nih.gov/pubmed/27168989 http://dx.doi.org/10.7717/peerj.1981 |
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author | Chabbert, Christophe D. Steinmetz, Lars M. Klaus, Bernd |
author_facet | Chabbert, Christophe D. Steinmetz, Lars M. Klaus, Bernd |
author_sort | Chabbert, Christophe D. |
collection | PubMed |
description | The genome-wide study of epigenetic states requires the integrative analysis of histone modification ChIP-seq data. Here, we introduce an easy-to-use analytic framework to compare profiles of enrichment in histone modifications around classes of genomic elements, e.g. transcription start sites (TSS). Our framework is available via the user-friendly R/Bioconductor package DChIPRep. DChIPRep uses biological replicate information as well as chromatin Input data to allow for a rigorous assessment of differential enrichment. DChIPRep is available for download through the Bioconductor project at http://bioconductor.org/packages/DChIPRep. Contact. DChIPRep@gmail.com. |
format | Online Article Text |
id | pubmed-4860309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-48603092016-05-10 DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies Chabbert, Christophe D. Steinmetz, Lars M. Klaus, Bernd PeerJ Bioinformatics The genome-wide study of epigenetic states requires the integrative analysis of histone modification ChIP-seq data. Here, we introduce an easy-to-use analytic framework to compare profiles of enrichment in histone modifications around classes of genomic elements, e.g. transcription start sites (TSS). Our framework is available via the user-friendly R/Bioconductor package DChIPRep. DChIPRep uses biological replicate information as well as chromatin Input data to allow for a rigorous assessment of differential enrichment. DChIPRep is available for download through the Bioconductor project at http://bioconductor.org/packages/DChIPRep. Contact. DChIPRep@gmail.com. PeerJ Inc. 2016-04-26 /pmc/articles/PMC4860309/ /pubmed/27168989 http://dx.doi.org/10.7717/peerj.1981 Text en © 2016 Chabbert 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Chabbert, Christophe D. Steinmetz, Lars M. Klaus, Bernd DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies |
title | DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies |
title_full | DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies |
title_fullStr | DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies |
title_full_unstemmed | DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies |
title_short | DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies |
title_sort | dchiprep, an r/bioconductor package for differential enrichment analysis in chromatin studies |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4860309/ https://www.ncbi.nlm.nih.gov/pubmed/27168989 http://dx.doi.org/10.7717/peerj.1981 |
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