Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("PING")
To cite this package in a publication, start R and enter:
citation("PING")
R Script | The PING users guide | |
R Script | Using PING with paired-end sequencing data | |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, Sequencing, Software, Statistics, Visualization |
Version | 2.4.0 |
In Bioconductor since | BioC 2.10 (R-2.15) |
License | Artistic-2.0 |
Depends | R(>= 2.15.0), chipseq, IRanges, GenomicRanges |
Imports | methods, PICS, graphics, grDevices, stats, Gviz, fda, BSgenome, stats4, BiocGenerics |
Suggests | parallel, ShortRead, rtracklayer |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | PING_2.4.0.tar.gz |
Windows Binary | PING_2.4.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | PING_2.4.0.tgz |
Package Downloads Report | Download Stats |
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