Analysis with Profile Hidden Markov Models
Designed for the development and application of
hidden Markov models and profile HMMs for biological sequence analysis.
Contains functions for multiple and pairwise sequence alignment,
model construction and parameter optimization, file import/export,
implementation of the forward, backward and Viterbi algorithms for
conditional sequence probabilities, tree-based sequence weighting,
and sequence simulation.
Features a wide variety of potential applications including
database searching, gene-finding and annotation, phylogenetic
analysis and sequence classification.
Based on the models and algorithms described in Durbin et
al (1998, ISBN: 9780521629713).
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Description file content
- Package
- aphid
- Type
- Package
- Title
- Analysis with Profile Hidden Markov Models
- Version
- 1.3.3
- Author
- Shaun Wilkinson [aut, cre]
- Maintainer
- Shaun Wilkinson
- Description
- Designed for the development and application of
hidden Markov models and profile HMMs for biological sequence analysis.
Contains functions for multiple and pairwise sequence alignment,
model construction and parameter optimization, file import/export,
implementation of the forward, backward and Viterbi algorithms for
conditional sequence probabilities, tree-based sequence weighting,
and sequence simulation.
Features a wide variety of potential applications including
database searching, gene-finding and annotation, phylogenetic
analysis and sequence classification.
Based on the models and algorithms described in Durbin et
al (1998, ISBN: 9780521629713).
- License
- GPL-3
- URL
- BugReports
- http://github.com/shaunpwilkinson/aphid/issues
- LazyData
- TRUE
- Encoding
- UTF-8
- SystemRequirements
- GNU make
- Depends
- R(>= 3.0.0)
- Imports
- graphics, openssl, kmer (>= 1.0.0), Rcpp (>= 0.12.5), stats
- Suggests
- ape (>= 4.0), knitr, rmarkdown, testthat
- LinkingTo
- Rcpp
- VignetteBuilder
- knitr
- RoxygenNote
- 6.1.1
- NeedsCompilation
- yes
- Packaged
- 2019-05-08 03:48:34 UTC; shaun
- Repository
- CRAN
- Date/Publication
- 2019-05-08 05:20:14 UTC