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)AmyloGram_1.2.zip(r-4.6)AmyloGram_1.2.zip(r-4.5)
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✨
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:

4.60 score 9 stars 11 scripts 217 downloads 8 mentions 3 exports 53 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK154
source / vignettesOK196
linux-release-x86_64OK153
macos-release-arm64OK119
macos-oldrel-arm64OK135
windows-develOK98
windows-releaseOK124
windows-oldrelOK106
wasm-releaseOK122

Exports:AmyloGram_guiis_proteinread_txt

Dependencies:ade4base64encbiogrambslibcachemclicombinatcommonmarkdigestentropyfastmapfontawesomefsgluegmphtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSMatrixmemoisemimenlmeotelpartitionspbapplypixmappolynompromisesR6rangerrappdirsrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangsasssegmentedseqinrsetsshinyslamsourcetoolsspwithrxtable