metaseqR2
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see metaseqR2.
An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms
Bioconductor version: 3.18
Provides an interface to several normalization and statistical testing packages for RNA-Seq gene expression data. Additionally, it creates several diagnostic plots, performs meta-analysis by combinining the results of several statistical tests and reports the results in an interactive way.
Author: Panagiotis Moulos [aut, cre]
Maintainer: Panagiotis Moulos <moulos at fleming.gr>
citation("metaseqR2")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("metaseqR2")
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("metaseqR2")
Building an annotation database for metaseqR2 | HTML | R Script |
RNA-Seq data analysis with metaseqR2 | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
See More
Suggests | BiocStyle, BiocManager, BSgenome, knitr, RMySQL, RUnit |
Linking To | |
Enhances | TCC |
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 | metaseqR2_1.14.0.tar.gz |
Windows Binary | metaseqR2_1.14.0.zip |
macOS Binary (x86_64) | metaseqR2_1.14.0.tgz |
macOS Binary (arm64) | metaseqR2_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/metaseqR2 |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/metaseqR2 |
Bioc Package Browser | https://code.bioconductor.org/browse/metaseqR2/ |
Package Short Url | https://bioconductor.org/packages/metaseqR2/ |
Package Downloads Report | Download Stats |