R4RNA

This is the released version of R4RNA; for the devel version, see R4RNA.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

An R package for RNA visualization and analysis

Bioconductor version: Release (3.23)

A package for RNA basepair analysis, including the visualization of basepairs as arc diagrams for easy comparison and annotation of sequence and structure. Arc diagrams can additionally be projected onto multiple sequence alignments to assess basepair conservation and covariation, with numerical methods for computing statistics for each.

Author: Daniel Lai, Irmtraud Meyer <irmtraud.meyer at cantab.net>

Maintainer: Daniel Lai <jujubix at cs.ubc.ca>

Citation (from within R, enter citation("R4RNA")):

Daniel Lai, Irmtraud Meyer. R4RNA: An R package for RNA visualization and analysis. doi:10.18129/B9.bioc.R4RNA, R package version 1.40.0, https://bioconductor.org/packages/R4RNA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("R4RNA")

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("R4RNA")

R4RNA.pdf	PDF	R Script
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Alignment, DataImport, DataRepresentation, MultipleComparison, MultipleSequenceAlignment, Preprocessing, Software, Visualization
Version	1.40.0
In Bioconductor since	BioC 3.3 (R-3.3) (10.5 years)
License	GPL-3
Depends	R (>= 3.2.0), Biostrings (>= 2.38.0)
Imports
System Requirements
URL	http://www.e-rna.org/r-chie/

Suggests
Linking To
Enhances
Depends On Me
Imports Me	ggmsa, rnaCrosslinkOO
Suggests Me	rfaRm
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	R4RNA_1.40.0.tar.gz
Windows Binary (x86_64)	R4RNA_1.40.0.zip
macOS Binary (big-sur-x86_64)	R4RNA_1.40.0.tgz
macOS Binary (sonoma-arm64)	R4RNA_1.40.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/R4RNA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/R4RNA
Package Short Url	https://bioconductor.org/packages/R4RNA/
Package Downloads Report	Download Stats