This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see PING.
Bioconductor version: 3.7
Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.
Author: Xuekui Zhang <xuezhang at jhsph.edu>, Raphael Gottardo <raph at stat.ubc.ca>, Sangsoon Woo <swoo at fhcrc.org>
Maintainer: Renan Sauteraud <rsautera at fhcrc.org>
Citation (from within R,
enter citation("PING")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PING")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PING")
R Script | The PING users guide | |
R Script | Using PING with paired-end sequencing data | |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, Sequencing, Software, StatisticalMethod, Visualization |
Version | 2.24.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (6.5 years) |
License | Artistic-2.0 |
Depends | R (>= 2.15.0), chipseq, IRanges, GenomicRanges |
Imports | methods, PICS, graphics, grDevices, stats, Gviz, fda, BSgenome, stats4, BiocGenerics, IRanges, S4Vectors |
LinkingTo | |
Suggests | parallel, ShortRead, rtracklayer |
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 | PING_2.24.0.tar.gz |
Windows Binary | PING_2.24.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | PING_2.24.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PING |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PING |
Package Short Url | http://bioconductor.org/packages/PING/ |
Package Downloads Report | Download Stats |
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