Science Score: 39.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 18 DOI reference(s) in README -
○Academic publication links
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○Scientific vocabulary similarity
Low similarity (10.5%) to scientific vocabulary
Repository
R package for multiple sequence alignment
Basic Info
- Host: GitHub
- Owner: UBod
- Language: C
- Default Branch: devel
- Homepage: https://github.com/UBod/msa
- Size: 4.22 MB
Statistics
- Stars: 19
- Watchers: 1
- Forks: 13
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
msa: An R Package for Multiple Sequence Alignment
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.
Although the package is maintained by Ulrich Bodenhofer, the package itself has been implemented mainly by Enrico Bonatesta and Christoph Kainrath (formerly Christoph Horejs-Kainrath).
Installation
The package can be installed from Bioconductor. Therefore, the the simplest way to install the package is to enter ``` if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")
BiocManager::install("msa") ``` into your R session. If, for what reason ever, you prefer to install the package manually, follow the instructions in the user manual.
User support
If you encounter any issues or if you have any question that might be of interest also for other users, before writing a private message to the package developers/maintainers, please create an issue in this repository and also consider posting on Bioconductor Support or on StackOverflow. For other matters regarding the package, please contact the package author.
Citing this package
If you use this package for research that is published later, you are kindly asked to cite it as follows:
- U. Bodenhofer, E. Bonatesta, C. Horejs-Kainrath, and S. Hochreiter (2015). msa: an R package for multiple sequence alignment. Bioinformatics 31(24):3997-3999. DOI: 10.1093/bioinformatics/btv494.
Moreover, we insist that, any time you use/cite the package, you also cite the original paper in which the algorithm/method/package that you have been using has been introduced:
ClustalW:
- J. D. Thompson, D. G. Higgins, and T. J. Gibson (1994). CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 22(22):4673 4680. DOI: 10.1093/nar/22.22.4673.
ClustalOmega:
- F. Sievers, A. Wilm, D. Dineen, T. J. Gibson, K. Karplus, W. Li, R. Lopez, H. McWilliam, M. Remmert, J. Söding, J. D. Thompson, and D. G. Higgins (2011). Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol. Syst. Biol. 7:539. DOI: 10.1038/msb.2011.75.
MUSCLE:
- R. C. Edgar (2004). MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics 5(5):113. DOI: 10.1186/1471-2105-5-113.
- R. C. Edgar (2004). MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32(5):1792 1797. DOI: 10.1093/nar/gkh340.
TeXshade:
- E. Beitz (2000). TeXshade: shading and labeling of multiple sequence alignments using LaTeX2e. Bioinformatics 16(2):135-139. DOI: 10.1093/bioinformatics/16.2.135.
Owner
- Login: UBod
- Kind: user
- Location: Hagenberg, Austria
- Website: http://ulrich.bodenhofer.com/
- Twitter: u_bode
- Repositories: 3
- Profile: https://github.com/UBod
Professor for Artificial Intelligence at University of Applied Sciences Upper Austria / Chief Artificial Intelligence Officer at QUOMATIC.AI
GitHub Events
Total
- Issues event: 11
- Watch event: 2
- Issue comment event: 16
- Push event: 10
- Pull request event: 3
- Fork event: 2
Last Year
- Issues event: 11
- Watch event: 2
- Issue comment event: 16
- Push event: 10
- Pull request event: 3
- Fork event: 2
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 34
- Total pull requests: 8
- Average time to close issues: 4 months
- Average time to close pull requests: 28 days
- Total issue authors: 28
- Total pull request authors: 6
- Average comments per issue: 3.18
- Average comments per pull request: 1.88
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 7
- Pull requests: 4
- Average time to close issues: 6 days
- Average time to close pull requests: about 1 month
- Issue authors: 6
- Pull request authors: 2
- Average comments per issue: 1.43
- Average comments per pull request: 0.5
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- richelbilderbeek (4)
- francoiskroll (2)
- msubirana (2)
- rualmey (2)
- BC19RG (1)
- moa4020 (1)
- vladimirsouza (1)
- zhuldyzhanzak (1)
- Yikun (1)
- SevanEsaian (1)
- zachpwakefield (1)
- GeroKn (1)
- padpadpadpad (1)
- nick-youngblut (1)
- JAMKuttan (1)
Pull Request Authors
- rualmey (2)
- Rong-Zh (2)
- fizwit (1)
- mephistopheles78 (1)
- Yikun (1)
- gancho-ivanov (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- bioconductor 228,467 total
- Total dependent packages: 4
- Total dependent repositories: 0
- Total versions: 6
- Total maintainers: 1
bioconductor.org: msa
Multiple Sequence Alignment
- Homepage: https://github.com/UBod/msa
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/msa/inst/doc/msa.pdf
- License: GPL (>= 2)
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Latest release: 1.40.0
published about 1 year ago
Rankings
Maintainers (1)
Dependencies
- Biostrings >= 2.40.0 depends
- R >= 3.3.0 depends
- methods * depends
- BiocGenerics * imports
- IRanges >= 1.20.0 imports
- Rcpp >= 0.11.1 imports
- S4Vectors * imports
- tools * imports
- Biobase * suggests
- ape >= 5.1 suggests
- knitr * suggests
- phangorn * suggests
- seqinr * suggests