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Bioconductor - RNAseq123 (development version)

RNAseq123

This is the development version of RNAseq123; for the stable release version, see RNAseq123.

RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR

Bioconductor version: Development (3.22)

R package that supports the F1000Research workflow article on RNA-seq analysis using limma, Glimma and edgeR by Law et al. (2016).

Author: Charity Law, Monther Alhamdoosh, Shian Su, Xueyi Dong, Luyi Tian, Gordon Smyth and Matthew Ritchie

Maintainer: Matthew Ritchie <mritchie at wehi.edu.au>

Citation (from within R, enter citation("RNAseq123")): 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("RNAseq123")

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("RNAseq123")
A guide to creating design matrices for gene expression experiments (English version) HTML R Script RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR (Chinese version) HTML R Script RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR (English version) HTML R Script Details biocViews GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow Version 1.33.0 License Artistic-2.0 Depends R (>= 3.3.0), Glimma(>= 1.1.9), limma, edgeR, gplots, RColorBrewer, Mus.musculus, R.utils, TeachingDemos, statmod, BiocWorkflowTools Imports System Requirements URL https://f1000research.com/articles/5-1408/v3 See More Package Archives

Follow Installation instructions to use this package in your R session.

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