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msa: an R package for multiple sequence alignment
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bodenhofer, Ulrich Bonatesta, Enrico Horejs-Kainrath, Christoph Hochreiter, Sepp |
| Copyright Year | 2015 |
| Abstract | UNLABELLED 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/. |
| Starting Page | 1031 |
| Ending Page | 1034 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.bioconductor.org/packages/release/bioc/vignettes/msa/inst/doc/msa.pdf |
| Alternate Webpage(s) | http://bioconductor.org/packages/release/bioc/vignettes/msa/inst/doc/msa.pdf |
| Alternate Webpage(s) | https://www.wikidata.org/entity/Q50862023 |
| Alternate Webpage(s) | https://bioconductor.org/packages/release/bioc/vignettes/msa/inst/doc/msa.pdf |
| PubMed reference number | 26315911v1 |
| Alternate Webpage(s) | https://doi.org/10.1093/bioinformatics/btv494 |
| DOI | 10.1093/bioinformatics/btv494 |
| Journal | Bioinformatics |
| Volume Number | 31 |
| Issue Number | 24 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Add-ons for Firefox Algorithm Bioconductor Bioinformatics ClustalW/ClustalX Interface Device Component MUSCLE (alignment software) Multiple sequence alignment R language |
| Content Type | Text |
| Resource Type | Article |