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signalHsmm
View on CRAN: Click
here
Download and install signalHsmm package within the R console
Install from CRAN:
install.packages("signalHsmm")
Install from Github:
library("remotes")
install_github("cran/signalHsmm")
Install by package version:
library("remotes")
install_version("signalHsmm", "1.5")
Attach the package and use:
library("signalHsmm")
Maintained by
Michal Burdukiewicz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-03
Latest Update: 2018-11-15
Description:
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.
How to cite:
Michal Burdukiewicz (2015). signalHsmm: Predict Presence of Signal Peptides. R package version 1.5, https://cran.r-project.org/web/packages/signalHsmm
Other packages that cited signalHsmm R package
View signalHsmm citation profile
Other R packages that signalHsmm depends,
imports, suggests or enhances
Functions, R codes and Examples using
the signalHsmm R package
Some associated functions: aaaggregation . add_k_mer_state . benchmark_dat . duration_viterbi . find_nhc . gui_signalHsmm . hsmm_pred . hsmm_pred_list . is_protein . plot.hsmm_pred . pred2df . predict.sighsmm_model . read_txt . read_uniprot . run_signalHsmm . signalHsmm . summary.hsmm_pred . summary.hsmm_pred_list . train_hsmm .
Some associated R codes: RcppExports.R . add_k_mer_state.R . datasets.R . find_nhc.R . hsmm_pred.R . hsmm_pred_list.R . is_protein.R . predict.sighsmm_model.R . read_txt.R . read_uniprot.R . run_signalHsmm.R . sighsmm_model.R . signalHsmm.R . train_hsmm.R . utils.R . Full signalHsmm package functions and examples
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