MACSr
This is the released version of MACSr; for the devel version, see MACSr.
MACS: Model-based Analysis for ChIP-Seq
Bioconductor version: Release (3.21)
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("MACSr")):
Installation
To install this package, start R (version "4.5") 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 | 1.16.0 |
| In Bioconductor since | BioC 3.13 (R-4.1) (4.5 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_1.16.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | MACSr_1.16.0.tgz |
| macOS Binary (arm64) | MACSr_1.16.0.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 |