michbur/AmpGram: Prediction of Antimicrobial Peptides

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: <https://github.com/michbur/AmpGramModel>.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.1
URL https://github.com/michbur/AmpGram
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("michbur/AmpGram")
michbur/AmpGram documentation built on March 22, 2022, 12:13 a.m.