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PING

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


Bioconductor version: Release (3.19)

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 "4.4") 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

Reference Manual PDF
NEWS Text

Details

biocViews Clustering, Sequencing, Software, StatisticalMethod, Visualization
Version 2.48.0
In Bioconductor since BioC 2.10 (R-2.15) (12 years)
License Artistic-2.0
Depends R (>= 3.5.0)
Imports methods, PICS, graphics, grDevices, stats, Gviz, fda, BSgenome, stats4, BiocGenerics, IRanges, GenomicRanges, S4Vectors
System Requirements
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Suggests parallel, ShortRead, rtracklayer
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Package Archives

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

Source Package PING_2.48.0.tar.gz
Windows Binary PING_2.48.0.zip
macOS Binary (x86_64) PING_2.48.0.tgz
macOS Binary (arm64) PING_2.48.0.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