This package is considered a duplicate. The official version of this package is found at:https://michbur.r-universe.dev/AmpGram

Package: AmpGram 1.0

Michal Burdukiewicz

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>.

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

AmpGram_1.0.tar.gz
AmpGram_1.0.zip(r-4.7-any)AmpGram_1.0.zip(r-4.6-any)AmpGram_1.0.zip(r-4.5-any)
AmpGram_1.0.tgz(r-4.6-any)AmpGram_1.0.tgz(r-4.5-any)
AmpGram_1.0.tar.gz(r-4.7-any)AmpGram_1.0.tar.gz(r-4.6-any)
AmpGram_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AmpGram/json (API)

# Install 'AmpGram' in R:

install.packages('AmpGram', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/michbur/ampgram/issues

Datasets:

AmpGram_predictions - Prediction of antimicrobial peptides

On CRAN:

archived packages r-universe

3.00 score 5 stars 6 scripts 284 downloads 4 mentions 5 exports 109 dependencies

Last updated from:18dfe03730 (on package/AmpGram). Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel	OK	328
source / vignettes	OK	308
linux-release	OK	151
macos-release	OK	131
macos-oldrel	OK	143
windows-devel	OK	131
windows-release	OK	108
windows-oldrel	OK	120
wasm-release	OK	147

Exports:AmpGram_gui get_AMPs install_AmpGramModel pred2df read_txt

Dependencies:askpass base64enc biogram brew brio bslib cachem callr cli clipr combinat commonmark cpp11 crayon credentials curl desc devtools diffobj digest downlit ellipsis entropy evaluate fansi fastmap fontawesome fs gert gitcreds glue gmp highr htmltools htmlwidgets httpuv httr2 ini jquerylib jsonlite knitr later lattice lifecycle magrittr Matrix memoise mime miniUI openssl otel pak partitions pbapply pillar pkgbuild pkgconfig pkgdown pkgload polynom praise prettyunits processx profvis promises ps purrr R6 ragg ranger rappdirs rbibutils rcmdcheck Rcpp RcppEigen Rdpack rdtools rlang rmarkdown roxygen2 rprojroot rstudioapi rversions sass sessioninfo sets shiny slam sourcetools stringi sys systemfonts testthat textshaping tibble tinytex urlchecker usethis utf8 vctrs waldo whisker withr xfun xml2 xopen xtable yaml zip

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Prediction of antimicrobial peptides	AmpGram-package AmpGram
AmpGram Graphical User Interface	AmpGram_gui
Prediction of antimicrobial peptides	AmpGram_predictions
Get putative antimicrobial peptides	get_AMPs
Install AmpGramModel package containing model for AMP prediction	install_AmpGramModel
Convert predictions to data.frame Return predictions as data.frame	pred2df
Predict antimicrobial peptides	predict.ampgram_model
Read sequences from .txt file	read_txt