roar

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

Identify differential APA usage from RNA-seq alignments


Bioconductor version: Development (3.21)

Identify preferential usage of APA sites, comparing two biological conditions, starting from known alternative sites and alignments obtained from standard RNA-seq experiments.

Author: Elena Grassi

Maintainer: Elena Grassi <grassi.e at gmail.com>

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

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("roar")

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("roar")
Identify differential APA usage from RNA-seq alignments PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews HighThroughputSequencing, RNAseq, Sequencing, Software, Transcription
Version 1.43.0
In Bioconductor since BioC 2.14 (R-3.1) (10.5 years)
License GPL-3
Depends R (>= 3.0.1)
Imports methods, BiocGenerics, S4Vectors, IRanges, GenomicRanges, SummarizedExperiment, GenomicAlignments(>= 0.99.4), rtracklayer, GenomeInfoDb
System Requirements
URL https://github.com/vodkatad/roar/
See More
Suggests RNAseqData.HNRNPC.bam.chr14, testthat
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Package Archives

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

Source Package roar_1.43.0.tar.gz
Windows Binary (x86_64) roar_1.43.0.zip
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/roar
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/roar
Bioc Package Browser https://code.bioconductor.org/browse/roar/
Package Short Url https://bioconductor.org/packages/roar/
Package Downloads Report Download Stats