Probabilistic inference of ChIP-seq
Bioconductor version: Release (3.5)
Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.
Author: Xuekui Zhang <xzhang at stat.ubc.ca>, Raphael Gottardo <rgottard at fhcrc.org>
Maintainer: Renan Sauteraud <rsautera at fhcrc.org>
Citation (from within R,
enter citation("PICS")
):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PICS")
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("PICS")
Details
biocViews | ChIPSeq, Clustering, Sequencing, Software, Visualization |
Version | 2.20.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (7.5 years) |
License | Artistic-2.0 |
Depends | R (>= 2.14.0), BiocGenerics(>= 0.1.3) |
Imports | methods, stats4, IRanges, GenomicRanges, graphics, grDevices, stats, Rsamtools, GenomicAlignments, S4Vectors |
LinkingTo | |
Suggests | ShortRead, rtracklayer, parallel |
SystemRequirements | GSL (GNU Scientific Library) |
Enhances | |
URL | |
Depends On Me | |
Imports Me | PING |
Suggests Me | |
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