AmpGram
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | AmpGram_1.0.tar.gz |
84.2 KiB |
1.0 |
rolling linux/noble R-4.5 | AmpGram_1.0.tar.gz |
84.2 KiB |
1.0 |
rolling source/ R- | AmpGram_1.0.tar.gz |
61.6 KiB |
1.0 |
latest linux/jammy R-4.5 | AmpGram_1.0.tar.gz |
84.2 KiB |
1.0 |
latest linux/noble R-4.5 | AmpGram_1.0.tar.gz |
84.2 KiB |
1.0 |
latest source/ R- | AmpGram_1.0.tar.gz |
61.6 KiB |
1.0 |
2026-04-26 source/ R- | AmpGram_1.0.tar.gz |
61.6 KiB |
1.0 |
2026-04-23 source/ R- | AmpGram_1.0.tar.gz |
61.6 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | AmpGram_1.0.zip |
88.9 KiB |
1.0 |
2025-04-20 source/ R- | AmpGram_1.0.tar.gz |
61.6 KiB |