Predict Presence of Signal Peptides

Predicts the presence of signal peptides in eukaryotic protein using hidden semi-Markov models. The implemented algorithm can be accessed from both the command line and GUI.


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signalHsmm

Predict Presence of Signal Peptides

signalHsmm predicts presence of signal peptides in eukaryotic proteins using hidden semi-Markov models. The implemented algorithm can be accessed as a web-based service http://smorfland.uni.wroc.pl/shiny/signalHsmm/.

Local instance of signalHsmm

signalHsmm can be also used locally as the R package. It can be installed from CRAN using:

install.packages("signalHsmm")

You can install the latest development version of the package directly from github:

source("https://install-github.me/michbur/signalHsmm")

After the installation, the GUI can be accessed locally:

library(signalHsmm)
gui_signalHsmm()

All signalHsmm functionalities can be also invoked in the batch mode, for example:

run_signalHsmm(benchmark_dat[1:10])

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Reference manual

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install.packages("signalHsmm")

1.5 by Michal Burdukiewicz, a year ago


https://github.com/michbur/signalhsmm


Browse source code at https://github.com/cran/signalHsmm


Authors: Michal Burdukiewicz [cre, aut] , Piotr Sobczyk [aut] , Jaroslaw Chilimoniuk [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports graphics, seqinr, shiny, stats, utils

Suggests DT, rmarkdown, shinythemes

Linking to Rcpp


See at CRAN