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 | |
| NEWS | Text |
Details
| biocViews | Clustering, Sequencing, Software, StatisticalMethod, Visualization |
| Version | 2.48.0 |
| In Bioconductor since | BioC 2.10 (R-2.15) (12.5 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 | |
| URL |
See More
| Suggests | parallel, ShortRead, rtracklayer |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | PING_2.48.0.tar.gz |
| Windows Binary (x86_64) | 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 |