PING

DOI: 10.18129/B9.bioc.PING    

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

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	2.22.0
In Bioconductor since	BioC 2.10 (R-2.15) (6 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.

Source Package	PING_2.22.0.tar.gz
Windows Binary	PING_2.22.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	PING_2.22.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/PING
Package Short Url	http://bioconductor.org/packages/PING/
Package Downloads Report	Download Stats