Modelling genetic regulatory networks at the Australian National University

Conrad Burden

Monday, July 4th, 11AM

INRIA Rhône-Alpes, C208

Abstract

I will describe some of the current research in genetic regulatory networks at the Centre for Bioinformation Science at ANU. Reflecting the stochastic nature of gene regulation, we use the chemical master equation to study Markovian models of gene states between which probabilistic transitions occur. Two projects will be described: (1) The aggregation of states of a system to reduce the dimensionality of complex problems and (2) Modelling of the switching mechanism between lysogeny and lysis in the Bacteriophage lambda.