ChIPseqR
This is the development version of ChIPseqR; for the stable release version, see ChIPseqR.
Identifying Protein Binding Sites in High-Throughput Sequencing Data
Bioconductor version: Development (3.21)
ChIPseqR identifies protein binding sites from ChIP-seq and nucleosome positioning experiments. The model used to describe binding events was developed to locate nucleosomes but should flexible enough to handle other types of experiments as well.
Author: Peter Humburg
Maintainer: Peter Humburg <peter.humburg at gmail.com>
citation("ChIPseqR")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ChIPseqR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ChIPseqR")
Introduction to ChIPseqR | R Script | |
Reference Manual |
Details
biocViews | ChIPSeq, Infrastructure, Software |
Version | 1.61.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (15 years) |
License | GPL (>= 2) |
Depends | R (>= 2.10.0), methods, BiocGenerics, S4Vectors(>= 0.9.25) |
Imports | Biostrings, fBasics, GenomicRanges, IRanges(>= 2.5.14), graphics, grDevices, HilbertVis, ShortRead, stats, timsac, utils |
System Requirements | |
URL |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | ChIPseqR_1.61.0.tar.gz |
Windows Binary (x86_64) | ChIPseqR_1.61.0.zip |
macOS Binary (x86_64) | ChIPseqR_1.61.0.tgz |
macOS Binary (arm64) | ChIPseqR_1.61.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ChIPseqR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ChIPseqR |
Bioc Package Browser | https://code.bioconductor.org/browse/ChIPseqR/ |
Package Short Url | https://bioconductor.org/packages/ChIPseqR/ |
Package Downloads Report | Download Stats |