msa: an R package for multiple sequence alignment. Bodenhofer, U., Bonatesta, E., Horejš-Kainrath, C., & Hochreiter, S. Bioinformatics, 31(24):3997–3999, December, 2015.
msa: an R package for multiple sequence alignment [link]Paper  doi  abstract   bibtex   
Summary: Although the R platform and the add-on packages of the Bioconductor project are widely used in bioinformatics, the standard task of multiple sequence alignment has been neglected so far. The msa package, for the first time, provides a unified R interface to the popular multiple sequence alignment algorithms ClustalW, ClustalOmega and MUSCLE. The package requires no additional software and runs on all major platforms. Moreover, the msa package provides an R interface to the powerful package shade which allows for flexible and customizable plotting of multiple sequence alignments.Availability and implementation: msa is available via the Bioconductor project: http://bioconductor.org/packages/release/bioc/html/msa.html. Further information and the R code of the example presented in this paper are available at http://www.bioinf.jku.at/software/msa/.Contact:bodenhofer@bioinf.jku.at or msa@bioinf.jku.at
@article{bodenhofer_msa_2015,
	title = {msa: an {R} package for multiple sequence alignment},
	volume = {31},
	issn = {1367-4803},
	shorttitle = {msa},
	url = {https://doi.org/10.1093/bioinformatics/btv494},
	doi = {10.1093/bioinformatics/btv494},
	abstract = {Summary: Although the R platform and the add-on packages of the Bioconductor project are widely used in bioinformatics, the standard task of multiple sequence alignment has been neglected so far. The msa package, for the first time, provides a unified R interface to the popular multiple sequence alignment algorithms ClustalW, ClustalOmega and MUSCLE. The package requires no additional software and runs on all major platforms. Moreover, the msa package provides an R interface to the powerful  package shade which allows for flexible and customizable plotting of multiple sequence alignments.Availability and implementation: msa is available via the Bioconductor project: http://bioconductor.org/packages/release/bioc/html/msa.html. Further information and the R code of the example presented in this paper are available at http://www.bioinf.jku.at/software/msa/.Contact:bodenhofer@bioinf.jku.at or msa@bioinf.jku.at},
	number = {24},
	urldate = {2022-10-15},
	journal = {Bioinformatics},
	author = {Bodenhofer, Ulrich and Bonatesta, Enrico and Horejš-Kainrath, Christoph and Hochreiter, Sepp},
	month = dec,
	year = {2015},
	pages = {3997--3999},
}

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