PING
Probabilistic inference for Nucleosome Positioning with MNase-based or Sonicated Short-read Data
Bioconductor version: Development (2.13)
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")
Documentation
| R Script | The PING users guide | |
| R Script | Using PING with paired-end sequencing data | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Clustering, Sequencing, Software, Statistics, Visualization |
| Version | 2.3.1 |
| In Bioconductor since | BioC 2.10 (R-2.15) |
| License | Artistic-2.0 |
| Depends | R(>= 2.15.0), chipseq, IRanges, GenomicRanges(>= 1.13.3) |
| Imports | methods, PICS, graphics, grDevices, stats, Gviz, fda, BSgenome, stats4, BiocGenerics, Rsamtools(>= 1.13.1) |
| Suggests | parallel, ShortRead, rtracklayer |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Downloads
| Package Source | PING_2.3.1.tar.gz |
| Windows Binary | PING_2.3.1.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | PING_2.3.1.tgz |
| Package Downloads Report | Download Stats |
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