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AmyloGram predicts amyloid proteins using n-gram encoding and random forests. It can be also accessed as a web-based service http://www.smorfland.uni.wroc.pl/shiny/AmyloGram/.
AmyloGram can be used installed from CRAN as the R package:
install.packages("AmyloGram")You can install the latest development version of the code using the
devtools R package.
# Install devtools, if you haven't already.
install.packages("devtools")
devtools::install_github("michbur/AmyloGram")After installation GUI can be accessed locally:
library(AmyloGram)
AmyloGram_gui()Predictions might be also made in the batch mode:
data(AmyloGram_model)
data(pep424)
predict(AmyloGram_model, pep424[1L:20])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.
Health stats visible at Monitor.