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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>.
| Version: |
1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
biogram, devtools, pbapply, ranger, shiny, stringi |
| Suggests: |
DT, ggplot2, pander, rmarkdown, shinythemes, spelling |
| Published: |
2020-05-31 |
| DOI: |
10.32614/CRAN.package.AmpGram |
| Author: |
Michal Burdukiewicz
 [cre, aut],
Katarzyna Sidorczuk [ctb],
Filip Pietluch [ctb],
Dominik Rafacz [aut],
Stefan Roediger
[ctb],
Jaroslaw Chilimoniuk
[ctb] |
| Maintainer: |
Michal Burdukiewicz <michalburdukiewicz at gmail.com> |
| BugReports: |
https://github.com/michbur/AmpGram/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/michbur/AmpGram |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README |
| CRAN checks: |
AmpGram results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=AmpGram
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.