Bioconductor version: Release (3.16)
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")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("R4RNA")
R Script | R4RNA.pdf | |
Reference Manual | ||
Text | NEWS |
biocViews | Alignment, DataImport, DataRepresentation, MultipleComparison, MultipleSequenceAlignment, Preprocessing, Software, Visualization |
Version | 1.26.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (7 years) |
License | GPL-3 |
Depends | R (>= 3.2.0), Biostrings(>= 2.38.0) |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.e-rna.org/r-chie/ |
Depends On Me | |
Imports Me | ggmsa |
Suggests Me | rfaRm |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | R4RNA_1.26.0.tar.gz |
Windows Binary | R4RNA_1.26.0.zip (64-bit only) |
macOS Binary (x86_64) | R4RNA_1.26.0.tgz |
macOS Binary (arm64) | R4RNA_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/R4RNA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/R4RNA |
Bioc Package Browser | https://code.bioconductor.org/browse/R4RNA/ |
Package Short Url | https://bioconductor.org/packages/R4RNA/ |
Package Downloads Report | Download Stats |
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