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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.

Version: 1.1
Depends: R (≥ 3.0.0)
Imports: biogram, ranger, seqinr, shiny
Published: 2017-10-11
DOI: 10.32614/CRAN.package.AmyloGram
Author: Michal Burdukiewicz [cre, aut], Piotr Sobczyk [ctb], Stefan Roediger [ctb]
Maintainer: Michal Burdukiewicz <michalburdukiewicz at gmail.com>
BugReports: https://github.com/michbur/AmyloGram/issues
License: GPL-3
URL: https://github.com/michbur/AmyloGram
NeedsCompilation: no
Citation: AmyloGram citation info
Materials: README ChangeLog
CRAN checks: AmyloGram results

Documentation:

Reference manual: AmyloGram.pdf

Downloads:

Package source: AmyloGram_1.1.tar.gz
Windows binaries: r-devel: AmyloGram_1.1.zip, r-release: AmyloGram_1.1.zip, r-oldrel: AmyloGram_1.1.zip
macOS binaries: r-release (arm64): AmyloGram_1.1.tgz, r-oldrel (arm64): AmyloGram_1.1.tgz, r-release (x86_64): AmyloGram_1.1.tgz, r-oldrel (x86_64): AmyloGram_1.1.tgz
Old sources: AmyloGram archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.