Predicts antimicrobial peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI. The AmpGram model is too large for CRAN and it has to be downloaded separately from the repository: <https://github.com/michbur/AmpGramModel>.
Version: 1.0 Depends: R (≥ 3.5.0) Imports: biogram, devtools, pbapply, ranger, shiny, stringi Suggests: DT, ggplot2, pander, rmarkdown, shinythemes, spelling Published: 2020-05-31 DOI: 10.32614/CRAN.package.AmpGram Author: Michal Burdukiewicz [cre, aut], Katarzyna Sidorczuk [ctb], Filip Pietluch [ctb], Dominik Rafacz [aut], Stefan Roediger [ctb], Jaroslaw Chilimoniuk [ctb] Maintainer: Michal Burdukiewicz <michalburdukiewicz at gmail.com> BugReports: https://github.com/michbur/AmpGram/issues License: GPL-3 URL: https://github.com/michbur/AmpGram NeedsCompilation: no Language: en-US Materials: README CRAN checks: AmpGram resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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