BioBayes: a software package for Bayesian inference in systems biology, Bioinformatics 24

Motivation: There are several levels of uncertainty involved in the mathematical modelling of biochemical systems. There often may be a degree of uncertainty about the values of kinetic parameters, about the general structure of the model, and about the behaviour of bio-chemical species which cannot be observed directly. The methods of Bayesian inference provide a consistent framework for modelling and predicting in these uncertain conditions. We present a soft-ware package for applying the Bayesian inferential methodology to problems in Systems Biology. Results: Described herein is a software package, BioBayes, which provides a framework for Bayesian parameter estimation and eviden-tial model ranking over models of biochemical systems defined using ordinary differential equations. The package is extensible allowing additional modules to be included by developers. There are no other such packages available which provide this functionality