Package: AmyloGram 1.2

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], Jaroslaw Chilimoniuk [ctb], Stefan Roediger [ctb], Dominik Rafacz [ctb]

AmyloGram_1.2.tar.gz
AmyloGram_1.2.zip(r-4.7-any)AmyloGram_1.2.zip(r-4.6-any)AmyloGram_1.2.zip(r-4.5-any)
AmyloGram_1.2.tgz(r-4.6-any)AmyloGram_1.2.tgz(r-4.5-any)
AmyloGram_1.2.tar.gz(r-4.7-any)AmyloGram_1.2.tar.gz(r-4.6-any)
AmyloGram_1.2.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://michbur.r-universe.dev', 'https://cloud.r-project.org'))

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

Datasets:

On CRAN:

Conda:

4.84 score 9 stars 19 scripts 484 downloads 8 mentions 3 exports 53 dependencies

Last updated from:a69da65aa7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK153
source / vignettesOK227
linux-releaseOK143
macos-releaseOK192
macos-oldrelOK197
windows-develOK71
windows-releaseOK87
windows-oldrelOK96
wasm-releaseOK96

Exports:AmyloGram_guiis_proteinread_txt

Dependencies:ade4base64encbiogrambslibcachemclicombinatcommonmarkdigestentropyfastmapfontawesomefsgluegmphtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSMatrixmemoisemimenlmeotelpartitionspbapplypixmappolynompromisesR6rangerrappdirsrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangsasssegmentedseqinrsetsshinyslamsourcetoolsspwithrxtable