Abstract

BackgroundsgnesR (Stochastic Gene Network Expression Simulator in R) is an R package that provides an interface to simulate gene expression data from a given gene network using the stochastic simulation algorithm (SSA). The package allows various options for delay parameters and can easily included in reactions for promoter delay, RNA delay and Protein delay. A user can tune these parameters to model various types of reactions within a cell. As examples, we present two network models to generate expression profiles. We also demonstrated the inference of networks and the evaluation of association measure of edge and non-edge components from the generated expression profiles.ResultsThe purpose of sgnesR is to enable an easy to use and a quick implementation for generating realistic gene expression data from biologically relevant networks that can be user selected.ConclusionssgnesR is freely available for academic use. The R package has been tested for R 3.2.0 under Linux, Windows and Mac OS X.

Highlights

  • SgnesR (Stochastic Gene Network Expression Simulator in R) is an R package that provides an interface to simulate gene expression data from a given gene network using the stochastic simulation algorithm (SSA)

  • We provide the R package Stochastic gene network expression simulator in R (sgnesR) (Stochastic Gene Network Expression Simulator in R)

  • There are two major components that need to be defined for the Tripathi et al BMC Bioinformatics (2017) 18:325 simulation of such a process

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Summary

Results

The purpose of sgnesR is to enable an easy to use and a quick implementation for generating realistic gene expression data from biologically relevant networks that can be user selected. The R package has been tested for R 3.2.0 under Linux, Windows and Mac OS X

Background
Binding-unbinding reactions
Results and discussion
Conclusions
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