MACSr
This is the released version of MACSr; for the devel version, see MACSr.
MACS: Model-based Analysis for ChIP-Seq
Bioconductor version: Release (3.20)
The Model-based Analysis of ChIP-Seq (MACS) is a widely used toolkit for identifying transcript factor binding sites. This package is an R wrapper of the lastest MACS3.
Author: Philippa Doherty [aut], Qiang Hu [aut, cre]
Maintainer: Qiang Hu <Qiang.Hu at roswellpark.org>
Citation (from within R, enter
citation("MACSr")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MACSr")
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("MACSr")
MACSr | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | ATACSeq, ChIPSeq, ImmunoOncology, Software |
Version | 1.14.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (3.5 years) |
License | BSD_3_clause + file LICENSE |
Depends | R (>= 4.1.0) |
Imports | utils, reticulate, S4Vectors, methods, basilisk, ExperimentHub, AnnotationHub |
System Requirements | |
URL |
See More
Suggests | testthat, knitr, rmarkdown, BiocStyle, MACSdata |
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 | MACSr_1.14.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | MACSr_1.14.0.tgz |
macOS Binary (arm64) | MACSr_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MACSr |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MACSr |
Bioc Package Browser | https://code.bioconductor.org/browse/MACSr/ |
Package Short Url | https://bioconductor.org/packages/MACSr/ |
Package Downloads Report | Download Stats |