To install this package, start R and enter:

## try http if https is not available
source("https://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: 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")):

To install this package, start R and enter:

## try http if https is not available
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")

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

biocViews	Clustering, Sequencing, Software, StatisticalMethod, Visualization
Version	2.12.0
In Bioconductor since	BioC 2.10 (R-2.15) (3.5 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
Build Report

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
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/PING/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/PING/
Package Downloads Report	Download Stats

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