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AmpGram  

Prediction of Antimicrobial Peptides
View on CRAN: Click here


Download and install AmpGram package within the R console
Install from CRAN:
install.packages("AmpGram")

Install from Github:
library("remotes")
install_github("cran/AmpGram")

Install by package version:
library("remotes")
install_version("AmpGram", "1.0")



Attach the package and use:
library("AmpGram")
Maintained by
Michal Burdukiewicz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-31
Latest Update: 2020-05-31
Description:
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: .
How to cite:
Michal Burdukiewicz (2020). AmpGram: Prediction of Antimicrobial Peptides. R package version 1.0, https://cran.r-project.org/web/packages/AmpGram. Accessed 26 Jun. 2026.
Previous versions and publish date:
No previous versions
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View AmpGram citation profile
Other R packages that AmpGram depends, imports, suggests or enhances
Complete documentation for AmpGram
Functions, R codes and Examples using the AmpGram R package
Some associated functions: AmpGram-package . AmpGram_gui . AmpGram_predictions . get_AMPs . install_AmpGramModel . pred2df . predict.ampgram_model . read_txt . 
Some associated R codes: AmpGram-package.R . AmpGram_gui.R . datasets.R . get_AMPs.R . pred2df.R . predict.R . read_txt.R . utils.R . zzz.R .  Full AmpGram package functions and examples
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