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Updated: May 24, 2026

The Use of Chemostats in Microbial Systems Biology
Published on: October 14, 2013
StochSens--Matlab package for sensitivity analysis of stochastic chemical systems
Michal Komorowski1, Justina Zurauskiene, Michael P H Stumpf
1Division of Molecular Biosciences, Imperial College London, London, UK. mkomor@ippt.gov.pl
Motivation:
The growing interest in the role of stochasticity in biochemical systems drives the demand for tools to analyse stochastic dynamical models of chemical reactions. One powerful tool to elucidate performance of dynamical systems is sensitivity analysis. Traditionally, however, the concept of sensitivity has mainly been applied to deterministic systems, and the difficulty to generalize these concepts for stochastic systems results from necessity of extensive Monte Carlo simulations.
Results:
Here we present a Matlab package, StochSens, that implements sensitivity analysis for stochastic chemical systems using the concept of the Fisher Information Matrix (FIM). It uses the linear noise approximation to represent the FIM in terms of solutions of ordinary differential equations. This is the first computational tool that allows for quick computation of the Information Matrix for stochastic systems without the need for Monte Carlo simulations.
Availability:
http://www.theosysbio.bio.ic.ac.uk/resources/stns
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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