msa
This is thereleased version of msa; for the devel version, seemsa.
Multiple Sequence Alignment
DOI: 10.18129/B9.bioc.msa
Bioconductor version: Release (3.22)
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 [aut], Christoph Kainrath [aut], Ulrich Bodenhofer [aut, cre, ths]
Maintainer: Ulrich Bodenhofer <ulrich at bodenhofer.com>
citation("msa")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("msa")For older versions of R, please refer to the appropriateBioconductor 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 | 1.42.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (10.5 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 |
| System Requirements | GNU make |
| URL | https://github.com/UBod/msa |
See More
| Suggests | Biobase,knitr,seqinr,ape (>= 5.1),phangorn,pwalign |
| Linking To | Rcpp |
| Enhances | |
| Depends On Me | |
| Imports Me | DspikeIn,LymphoSeq,odseq,rhinotypeR,surfaltr |
| Suggests Me | idpr,AntibodyForests,bio3d,BOLDconnectR,SVAlignR |
| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | msa_1.42.0.tar.gz |
| Windows Binary (x86_64) | msa_1.42.0.zip (64-bit only) |
| macOS Binary (x86_64) | msa_1.42.0.tgz |
| macOS Binary (arm64) | msa_1.42.0.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 |