easyRNASeq

DOI: 10.18129/B9.bioc.easyRNASeq    

Count summarization and normalization for RNA-Seq data

Bioconductor version: Release (3.14)

Calculates the coverage of high-throughput short-reads against a genome of reference and summarizes it per feature of interest (e.g. exon, gene, transcript). The data can be normalized as 'RPKM' or by the 'DESeq' or 'edgeR' package.

Author: Nicolas Delhomme, Ismael Padioleau, Bastian Schiffthaler, Niklas Maehler

Maintainer: Nicolas Delhomme <nicolas.delhomme at umu.se>

Installation

To install this package, start R (version "4.1") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("easyRNASeq")

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("easyRNASeq")

 

HTML	R Script	geneNetworkR
PDF	R Script	R / Bioconductor for High Throughput Sequence Analysis
PDF		Reference Manual
Text		NEWS

Details

biocViews	GeneExpression, Genetics, ImmunoOncology, Preprocessing, RNASeq, Software
Version	2.30.0
In Bioconductor since	BioC 2.10 (R-2.15) (10 years)
License	Artistic-2.0
Depends
Imports	Biobase(>= 2.50.0), BiocFileCache(>= 1.14.0), BiocGenerics(>= 0.36.0), BiocParallel(>= 1.24.1), biomaRt(>= 2.46.0), Biostrings(>= 2.58.0), edgeR(>= 3.32.0), GenomeInfoDb(>= 1.26.0), genomeIntervals(>= 1.46.0), GenomicAlignments(>= 1.26.0), GenomicRanges(>= 1.42.0), SummarizedExperiment(>= 1.20.0), graphics, IRanges(>= 2.24.0), LSD (>= 4.1-0), locfit, methods, parallel, rappdirs (>= 0.3.1), Rsamtools(>= 2.6.0), S4Vectors(>= 0.28.0), ShortRead(>= 1.48.0), utils
LinkingTo
Suggests	BiocStyle(>= 2.18.0), BSgenome(>= 1.58.0), BSgenome.Dmelanogaster.UCSC.dm3(>= 1.4.0), curl, knitr, rmarkdown, RUnit (>= 0.4.32)
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	msgbsR
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	easyRNASeq_2.30.0.tar.gz
Windows Binary	easyRNASeq_2.30.0.zip
macOS 10.13 (High Sierra)	easyRNASeq_2.30.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/easyRNASeq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/easyRNASeq
Package Short Url	https://bioconductor.org/packages/easyRNASeq/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.14	Source Archive