PING

DOI: 10.18129/B9.bioc.PING  

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

Bioconductor version: Release (3.16)

Probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.

Author: Xuekui Zhang <xuezhang at jhsph.edu>, Raphael Gottardo <rgottard at fredhutch.org>, Sangsoon Woo <swoo at fhcrc.org>

Maintainer: Renan Sauteraud <renan.sauteraud at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("PING")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF		Reference Manual
Text		NEWS

Details

biocViews	Clustering, Sequencing, Software, StatisticalMethod, Visualization
Version	2.42.0
In Bioconductor since	BioC 2.10 (R-2.15) (11 years)
License	Artistic-2.0
Depends	R (>= 3.5.0)
Imports	methods, PICS, graphics, grDevices, stats, Gviz, fda, BSgenome, stats4, BiocGenerics, IRanges, GenomicRanges, S4Vectors
LinkingTo
Suggests	parallel, ShortRead, rtracklayer
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	PING_2.42.0.tar.gz
Windows Binary	PING_2.42.0.zip
macOS Binary (x86_64)	PING_2.42.0.tgz
macOS Binary (arm64)	PING_2.42.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/PING
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/PING
Bioc Package Browser	https://code.bioconductor.org/browse/PING/
Package Short Url	https://bioconductor.org/packages/PING/
Package Downloads Report	Download Stats