DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Genomics, Statistics
- Keywords
- Bioinformatics, Computational Biology, Genomics, ChiP–Seq, Chromatin, Histone–Modifications, Differential Enrichment, Statistics
- Copyright
- © 2016 Chabbert et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, 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 PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies. PeerJ PrePrints 4:e1723v2 https://doi.org/10.7287/peerj.preprints.1723v2
Abstract
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
Author Comment
Supplemental item 2 contained a previous version of ReproduceFiguresDChIPRepPaper.Rmd that does not reproduce the figures. The correct file has been added.