Prediction of Antimicrobial Peptides R package AmpGram version 1.0 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>. Software Depends: R (>= 3.5.0) Imports: biogram, devtools, pbapply, ranger, shiny, stringi Suggests: DT, ggplot2, pander, rmarkdown, shinythemes, spelling Michal Burdukiewicz <michalburdukiewicz@gmail.com> Comprehensive R Archive Network (CRAN) Michal Burdukiewicz [cre, aut] (ORCID: <https://orcid.org/0000-0001-8926-582X>), Katarzyna Sidorczuk [ctb], Filip Pietluch [ctb], Dominik Rafacz [aut], Stefan Roediger [ctb] (ORCID: <https://orcid.org/0000-0002-1441-6512>), Jaroslaw Chilimoniuk [ctb] (ORCID: <https://orcid.org/0000-0001-5467-018X>) GPL-3 2020-05-31 application/tgz https://CRAN.R-project.org/package=AmpGram doi:10.32614/CRAN.package.AmpGram en-US