Prediction of Anticancer Peptides R package CancerGram version 1.0.0 Predicts anticancer 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 CancerGram model is too large for CRAN and it has to be downloaded separately from the repository: <https://github.com/BioGenies/CancerGramModel>. For more information see: Burdukiewicz et al. (2020) <doi:10.3390/pharmaceutics12111045>. Software Depends: R (>= 3.5.0) Imports: biogram, devtools, pbapply, ranger, shiny, stringi, dplyr 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 [aut] (ORCID: <https://orcid.org/0000-0001-6576-9054>), Filip Pietluch [ctb] (ORCID: <https://orcid.org/0000-0001-6218-9804>), Dominik Rafacz [ctb] (ORCID: <https://orcid.org/0000-0003-0925-1909>), Mateusz Bakala [ctb] (ORCID: <https://orcid.org/0000-0002-3213-2484>), Jadwiga Słowik [ctb] (ORCID: <https://orcid.org/0000-0003-3466-8933>) GPL-3 2020-11-19 application/tgz https://CRAN.R-project.org/package=CancerGram doi:10.32614/CRAN.package.CancerGram en-US