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Multi-scale modelling of stochastic gene expression

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SDB - Stochastic dynamical systems in biology: numerical methods and applications

Genetically identical cells exhibit variability in gene expression due to inherent stochasticity in biochemical reactions. In this seminar, I describe a multi-scale approach that includes modelling cell growth, division and proliferation in addition to stochastic gene expression inside individual cells. I then discuss three short stories that uses this approach. Firstly, how cell growth rate regulates gene expression noise, secondly, how does expression of fitness inducing gene is shaped by proliferation and finally how to infer parameters of gene expression from single cell data.

This talk is part of the Isaac Newton Institute Seminar Series series.

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