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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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Install

install.packages('signalHsmm')

Monthly Downloads

152

Version

1.5

License

GPL-3

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Last Published

November 15th, 2018

Functions in signalHsmm (1.5)

aaaggregation

Reduced amino acid alphabet
find_nhc

Localize n-, h- and c-region in signal peptide
train_hsmm

Train sighsmm_model object
is_protein

Protein test
gui_signalHsmm

GUI for signalHsmm
pred2df

Convert list of signalHsmm predictions
predict.sighsmm_model

Predict sighsmm_model object
plot.hsmm_pred

Plot single signalHsmm prediction
hsmm_pred

hsmm_pred class
hsmm_pred_list

hsmm_pred_list class
read_txt

Read sequences from .txt file
read_uniprot

Read data from UniProt database
benchmark_dat

Benchmark data set for signalHsmm
duration_viterbi

Compute most probable path with extended Viterbi algorithm.
run_signalHsmm

Predict presence of signal peptide in protein
signalHsmm

signalHsmm - prediction of signal peptides
summary.hsmm_pred

Summarize single signalHsmm prediction
summary.hsmm_pred_list

Summarize list of signalHsmm predictions
add_k_mer_state

Adds k-mer hidden state to signalHsmm model