To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DChIPRep")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
The DChIPRep package implements a methodology to assess differences between chromatin modification profiles in replicated ChIP-Seq studies as described in Chabbert et. al - http://www.dx.doi.org/10.15252/msb.20145776. A detailed description of the method is given in the software paper at https://doi.org/10.7717/peerj.1981
Author: Bernd Klaus [aut, cre], Christophe Chabbert [aut], Sebastian Gibb [ctb]
Maintainer: Bernd Klaus <bernd.klaus at embl.de>
Citation (from within R,
enter citation("DChIPRep")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DChIPRep")
HTML | R Script | DChIPRepVignette |
Reference Manual | ||
Text | NEWS |
biocViews | ChIPSeq, Sequencing, Software, WholeGenome |
Version | 1.6.2 |
In Bioconductor since | BioC 3.2 (R-3.2) (2 years) |
License | MIT + file LICENCE |
Depends | R (>= 3.4), DESeq2 |
Imports | methods, stats, utils, ggplot2, fdrtool, reshape2, GenomicRanges, SummarizedExperiment, smoothmest, plyr, tidyr, assertthat, S4Vectors, purrr, soGGi, ChIPpeakAnno |
LinkingTo | |
Suggests | mgcv, testthat, BiocStyle, knitr, rmarkdown |
SystemRequirements | Python 2.7, HTSeq (>= 0.6.1), numpy, argparse, sys |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | DChIPRep_1.6.2.tar.gz |
Windows Binary | DChIPRep_1.6.2.zip |
Mac OS X 10.11 (El Capitan) | DChIPRep_1.6.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DChIPRep |
Package Short Url | http://bioconductor.org/packages/DChIPRep/ |
Package Downloads Report | Download Stats |
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