To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("PING")

In most cases, you don't need to download the package archive at all.

PING

 

Probabilistic inference for Nucleosome Positioning with MNase-based or Sonicated Short-read Data

Bioconductor version: Release (3.1)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("PING")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PING")

 

PDF R Script The PING users guide
PDF R Script Using PING with paired-end sequencing data
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, Sequencing, Software, StatisticalMethod, Visualization
Version 2.12.0
In Bioconductor since BioC 2.10 (R-2.15) (3 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
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source PING_2.12.0.tar.gz
Windows Binary PING_2.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) PING_2.12.0.tgz
Mac OS X 10.9 (Mavericks) PING_2.12.0.tgz
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