This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see PING.
Bioconductor version: 3.12
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 "4.0") and enter:
if (!requireNamespace("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 | 2.34.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (9 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_2.34.0.tar.gz |
Windows Binary | PING_2.34.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | PING_2.34.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PING |
Source Repository (Developer Access) | git clone [email protected]:packages/PING |
Package Short Url | https://bioconductor.org/packages/PING/ |
Package Downloads Report | Download Stats |
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