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>.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("AmpGram")

1.0 by Michal Burdukiewicz, a month ago


https://github.com/michbur/AmpGram


Report a bug at https://github.com/michbur/AmpGram/issues


Browse source code at https://github.com/cran/AmpGram


Authors: Michal Burdukiewicz [cre, aut] , Katarzyna Sidorczuk [ctb] , Filip Pietluch [ctb] , Dominik Rafacz [aut] , Stefan Roediger [ctb] , Jaroslaw Chilimoniuk [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports biogram, devtools, pbapply, ranger, shiny, stringi

Suggests DT, ggplot2, pander, rmarkdown, shinythemes, spelling


See at CRAN