Package: AmpGram 1.1

AmpGram: Prediction of Antimicrobial Peptides

Predicts antimicrobial peptides using random forests trained on the n-gram encoded peptides (10.3390/ijms21124310). 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_1.1.tar.gz
AmpGram_1.1.zip(r-4.7)AmpGram_1.1.zip(r-4.6)AmpGram_1.1.zip(r-4.5)
AmpGram_1.1.tgz(r-4.6-any)AmpGram_1.1.tgz(r-4.5-any)
AmpGram_1.1.tar.gz(r-4.7-any)AmpGram_1.1.tar.gz(r-4.6-any)
AmpGram_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
AmpGram/json (API)

# Install 'AmpGram' in R:
install.packages('AmpGram', repos = c('https://michbur.r-universe.dev', 'https://cloud.r-project.org'))

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

Datasets:

On CRAN:

Conda:

4.38 score 4 stars 6 scripts 304 downloads 4 mentions 5 exports 108 dependencies

Last updated from:b04c301e15. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK188
source / vignettesOK278
linux-release-x86_64OK173
macos-release-arm64OK91
macos-oldrel-arm64OK100
windows-develOK138
windows-releaseOK106
windows-oldrelOK100
wasm-releaseOK128

Exports:AmpGram_guiget_AMPsinstall_AmpGramModelpred2dfread_txt

Dependencies:askpassbase64encbiogrambrewbriobslibcachemcallrclicliprcombinatcommonmarkcpp11crayoncredentialscurldescdevtoolsdiffobjdigestdownlitellipsisentropyevaluatefansifastmapfontawesomefsgertgitcredsgluegmphighrhtmltoolshtmlwidgetshttpuvhttr2inijquerylibjsonliteknitrlaterlatticelifecyclemagrittrMatrixmemoisemimeminiUIopensslotelpakpartitionspbapplypillarpkgbuildpkgconfigpkgdownpkgloadpolynompraiseprettyunitsprocessxprofvispromisespspurrrR6raggrangerrappdirsrbibutilsrcmdcheckRcppRcppEigenRdpackrlangrmarkdownroxygen2rprojrootrstudioapirversionssasssessioninfosetsshinyslamsourcetoolsstringisyssystemfontstestthattextshapingtibbletinytexurlcheckerusethisutf8vctrswaldowhiskerwithrxfunxml2xopenxtableyamlzip