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The SBML discrete stochastic models test suite

Lookup NU author(s): Dr Colin GillespieORCiD, Professor Darren Wilkinson

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Abstract

Motivation: Stochastic simulation is a very important tool for mathematical modelling. However, it is difficult to check the correctness of a stochastic simulator, since any two realizations from a single model will typically be different. Results: We have developed a test suite of stochastic models that have been solved either analytically or using numerical methods. This allows the accuracy of stochastic simulators to be tested against known results. The test suite is already being used by a number of stochastic simulator developers. © Oxford University Press 2007.

Publication metadata

Author(s): Evans TW, Gillespie CS, Wilkinson DJ

Publication type: Article

Publication status: Published

Journal: Bioinformatics

Year: 2008

Volume: 24

Issue: 2

Pages: 285-286

ISSN (print): 1367-4803

ISSN (electronic): 1367-4811

Publisher: Oxford University Press

URL: http://dx.doi.org/10.1093/bioinformatics/btm566

DOI: 10.1093/bioinformatics/btm566

PubMed id: 18025005

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