This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see CexoR.
Bioconductor version: 3.8
Strand specific peak-pair calling in ChIP-exo replicates. The cumulative Skellam distribution function (package 'skellam') is used to detect significant normalised count differences of opposed sign at each DNA strand (peak-pairs). Irreproducible discovery rate for overlapping peak-pairs across biological replicates is estimated using the package 'idr'.
Author: Pedro Madrigal <bioinformatics.engineer at gmail.com>
Maintainer: Pedro Madrigal <bioinformatics.engineer at gmail.com>
Citation (from within R,
enter citation("CexoR")
):
To install this package, start R (version "3.5") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CexoR")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CexoR")
R Script | CexoR Vignette | |
Reference Manual | ||
Text | LICENSE |
biocViews | Genetics, Sequencing, Software, Transcription |
Version | 1.20.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (5.5 years) |
License | Artistic-2.0 | GPL-2 + file LICENSE |
Depends | R (>= 2.10.0), S4Vectors, IRanges |
Imports | Rsamtools, GenomeInfoDb, GenomicRanges, rtracklayer, idr, RColorBrewer, genomation |
LinkingTo | |
Suggests | RUnit, BiocGenerics, BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | CexoR_1.20.0.tar.gz |
Windows Binary | CexoR_1.20.0.zip |
Mac OS X 10.11 (El Capitan) | CexoR_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CexoR |
Source Repository (Developer Access) | git clone [email protected]:packages/CexoR |
Package Short Url | http://bioconductor.org/packages/CexoR/ |
Package Downloads Report | Download Stats |
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