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-4.5)AmyloGram_1.2.zip(r-4.4)AmyloGram_1.2.zip(r-4.3)
AmyloGram_1.2.tgz(r-4.5-any)AmyloGram_1.2.tgz(r-4.4-any)AmyloGram_1.2.tgz(r-4.3-any)
AmyloGram_1.2.tar.gz(r-4.5-noble)AmyloGram_1.2.tar.gz(r-4.4-noble)
AmyloGram_1.2.tgz(r-4.4-emscripten)AmyloGram_1.2.tgz(r-4.3-emscripten)
AmyloGram.pdf |AmyloGram.html✨
AmyloGram/json (API)

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

Peer review:

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

Datasets:

On CRAN:

4.60 score 9 stars 11 scripts 254 downloads 8 mentions 3 exports 54 dependencies

Last updated 5 years agofrom:a69da65aa7. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-winOKFeb 01 2025
R-4.5-macOKFeb 01 2025
R-4.5-linuxOKFeb 01 2025
R-4.4-winOKFeb 01 2025
R-4.4-macOKFeb 01 2025
R-4.3-winOKFeb 01 2025
R-4.3-macOKFeb 01 2025

Exports:AmyloGram_guiis_proteinread_txt

Dependencies:ade4base64encbiogrambslibcachemclicombinatcommonmarkcrayondigestentropyfastmapfontawesomefsgluegmphtmltoolshttpuvjquerylibjsonlitelaterlatticelifecyclemagrittrMASSmathjaxrMatrixmemoisemimenlmepartitionspbapplypixmappolynompromisesR6rangerrappdirsrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangsasssegmentedseqinrsetsshinyslamsourcetoolsspwithrxtable