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.


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 www.smorfland.uni.wroc.pl/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 code using the devtools R package.

install.packages("devtools")
 
library(devtools)
install_github("michbur/signalHsmm")

After installation GUI can be accessed locally:

library(signalHsmm)
gui_signalHsmm()

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

run_signalHsmm(benchmark_dat[1:10])

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Reference manual

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install.packages("signalHsmm")

1.4 by Michal Burdukiewicz, 2 years ago


https://github.com/michbur/signalhsmm


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


Authors: Michal Burdukiewicz [cre, aut], Piotr Sobczyk [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports graphics, seqinr, shiny, stats, utils

Suggests DT, rmarkdown

Linking to Rcpp


See at CRAN