Package: AmpGram Type: Package Title: Prediction of Antimicrobial Peptides Version: 1.1 LazyData: TRUE Date: 2022-03-01 Authors@R: c(person("Michal", "Burdukiewicz", email = "michalburdukiewicz@gmail.com", comment = c(ORCID = "0000-0001-8926-582X"), role = c("cre", "aut")), person("Katarzyna", "Sidorczuk", email = "sidorczuk.katarzyna17@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0001-6576-9054")), person("Filip", "Pietluch", email = "fpietluch@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0001-6218-9804")), person("Dominik", "Rafacz", email = "dominikrafacz@gmail.com", comment = c(ORCID = "0000-0003-0925-1909"), role = c("aut")), person("Stefan", "Roediger", email = "stefan.roediger@b-tu.de", comment = c(ORCID = "0000-0002-1441-6512"), role = c("ctb")), person("Jaroslaw", "Chilimoniuk", email = "jaroslaw.chilimoniuk@gmail.com", comment = c(ORCID = "0000-0001-5467-018X"), role = c("ctb"))) Description: Predicts antimicrobial peptides using random forests trained on the n-gram encoded peptides (10.3390/ijms21124310). 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: . License: GPL-3 URL: https://github.com/michbur/AmpGram BugReports: https://github.com/michbur/AmpGram/issues Encoding: UTF-8 Depends: R (>= 3.5.0) Imports: biogram, devtools, pbapply, ranger, shiny, stringi Suggests: DT, ggplot2, pander, rmarkdown, shinythemes, spelling RoxygenNote: 7.1.0 Language: en-US Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev git libgmp3-dev make libharfbuzz-dev libgit2-dev libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev libx11-dev zlib1g-dev Repository: https://michbur.r-universe.dev Date/Publication: 2022-02-28 21:10:46 UTC RemoteUrl: https://github.com/michbur/ampgram RemoteRef: HEAD RemoteSha: b04c301e15bf4dad0ea61675e5d0defae509cca2 NeedsCompilation: no Packaged: 2026-06-23 08:18:13 UTC; root Author: Michal Burdukiewicz [cre, aut] (ORCID: ), Katarzyna Sidorczuk [ctb] (ORCID: ), Filip Pietluch [ctb] (ORCID: ), Dominik Rafacz [aut] (ORCID: ), Stefan Roediger [ctb] (ORCID: ), Jaroslaw Chilimoniuk [ctb] (ORCID: ) Maintainer: Michal Burdukiewicz