PING

DOI: 10.18129/B9.bioc.PING    

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

Bioconductor version: Release (3.14)

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>

Citation (from within R, enter citation("PING")):

Installation

To install this package, start R (version "4.1") 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 2.38.0
In Bioconductor since BioC 2.10 (R-2.15) (10 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_2.38.0.tar.gz
Windows Binary PING_2.38.0.zip
macOS 10.13 (High Sierra) PING_2.38.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PING
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/PING
Package Short Url https://bioconductor.org/packages/PING/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.14 Source Archive

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: