msa
This is the development version of msa; for the stable release version, see msa.
Multiple Sequence Alignment
Bioconductor version: Development (3.18)
The 'msa' package provides a unified R/Bioconductor interface to the multiple sequence alignment algorithms ClustalW, ClustalOmega, and Muscle. All three algorithms are integrated in the package, therefore, they do not depend on any external software tools and are available for all major platforms. The multiple sequence alignment algorithms are complemented by a function for pretty-printing multiple sequence alignments using the LaTeX package TeXshade.
Author: Enrico Bonatesta, Christoph Horejs-Kainrath, Ulrich Bodenhofer
Maintainer: Ulrich Bodenhofer <bodenhofer at bioinf.jku.at>
citation("msa")):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("msa")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("msa")| msa - An R Package for Multiple Sequence Alignment | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Alignment, MultipleComparison, MultipleSequenceAlignment, Sequencing, Software |
| Version | 1.33.1 |
| In Bioconductor since | BioC 3.1 (R-3.2) (8.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 3.3.0), methods, Biostrings(>= 2.40.0) |
| Imports | Rcpp (>= 0.11.1), BiocGenerics, IRanges(>= 1.20.0), S4Vectors, tools |
| Linking To | Rcpp |
| Suggests | Biobase, knitr, seqinr, ape (>= 5.1), phangorn |
| System Requirements | GNU make |
| Enhances | |
| URL | http://www.bioinf.jku.at/software/msa/ |
See More
| Depends On Me | |
| Imports Me | LymphoSeq, odseq, surfaltr |
| Suggests Me | idpr |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | msa_1.33.1.tar.gz |
| Windows Binary | msa_1.33.1.zip |
| macOS Binary (x86_64) | msa_1.33.1.tgz |
| macOS Binary (arm64) | msa_1.33.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/msa |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/msa |
| Bioc Package Browser | https://code.bioconductor.org/browse/msa/ |
| Package Short Url | https://bioconductor.org/packages/msa/ |
| Package Downloads Report | Download Stats |