AmpGram: Prediction of Antimicrobial Peptides

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
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 results

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