Oscillations in gene regulatory networks: stochastic modelling and simulations

In many biological applications stochasticity plays a crucial role, either due to uncertainties in parameters or due to inherent stochasticity in specific processes involved.
For instance, the stability with respect to randomness in biological processes is essential for the proper functioning of tissues and organs and to ensure homeostasis. We aim to develop a general mathematical framework that is broadly applicable, but the main motivation of the project are gene regulatory networks.
We aim to investigate the effect of biologically realistic noise on the oscillatory dynamics of stochastic gene regulatory networks and enable the development of efficient and dynamically consistent methods for their numerical solution. The proposed group of researchers possesses complementary skills that will enable the development, in concert, of models, theory and numerical methods.
We will publish our results in high profile journals, disseminate at international conferences and create a basis for future larger grant applications.