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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:

Please use the canonical form https://CRAN.R-project.org/package=AmyloGram to link to this page.

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.
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