README.md

In michbur/signalHsmm: Predict Presence of Signal Peptides

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])

Citation

Plain text

Burdukiewicz M, Sobczyk P, Chilimoniuk J, Gagat P, Mackiewicz P. Prediction of Signal Peptides in Proteins from Malaria Parasites. International Journal of Molecular Sciences. 2018; 19(12):3709. Publication

BibTeX

@article{Burdukiewicz_2018, title={Prediction of Signal Peptides in Proteins from Malaria Parasites}, volume={19}, ISSN={1422-0067}, url={http://dx.doi.org/10.3390/ijms19123709}, DOI={10.3390/ijms19123709}, number={12}, journal={International Journal of Molecular Sciences}, publisher={MDPI AG}, author={Burdukiewicz, Michał and Sobczyk, Piotr and Chilimoniuk, Jarosław and Gagat, Przemysław and Mackiewicz, Paweł}, year={2018}, month={Nov}, pages={3709}}

michbur/signalHsmm documentation built on May 10, 2020, 2:58 p.m.