This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see PING.
Bioconductor version: 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>
Citation (from within R,
      enter citation("PING")):
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.
| Reference Manual | ||
| Text | NEWS | 
| 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 | 
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 | 
 
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