Package: AmyloGram 1.1

Michal Burdukiewicz

AmyloGram: Prediction of Amyloid Proteins

Predicts amyloid proteins 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.

Authors:Michal Burdukiewicz [cre, aut], Piotr Sobczyk [ctb], Stefan Roediger [ctb]

AmyloGram_1.1.tar.gz
AmyloGram_1.1.zip(r-4.7-any)AmyloGram_1.1.zip(r-4.6-any)AmyloGram_1.1.zip(r-4.5-any)
AmyloGram_1.1.tgz(r-4.6-any)AmyloGram_1.1.tgz(r-4.5-any)
AmyloGram_1.1.tar.gz(r-4.7-any)AmyloGram_1.1.tar.gz(r-4.6-any)
AmyloGram_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AmyloGram/json (API)

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

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

Datasets:

On CRAN:

Conda:

archivedpackagesr-universe

3.60 score 5 stars 20 scripts 332 downloads 8 mentions 3 exports 52 dependencies

Last updated from:86bc6d103b (on package/AmyloGram). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK182
source / vignettesOK205
linux-releaseOK142
macos-releaseOK121
macos-oldrelOK140
windows-develOK95
windows-releaseOK108
windows-oldrelOK129
wasm-releaseOK104

Exports:AmyloGram_guiis_proteinread_txt

Dependencies:ade4base64encbiogrambslibcachemclicombinatcommonmarkdigestentropyfastmapfontawesomefsgluegmphtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSMatrixmemoisemimenlmeotelpartitionspixmappolynompromisesR6rangerrappdirsrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangsasssegmentedseqinrsetsshinyslamsourcetoolsspwithrxtable