Barnes:Research

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Robust Synthetic Biology Despite recent advances in synthetic biology, our ability to construct devices that are robust to changes in biochemical context and environmental fluctuations is still lacking. This is due, in part, to our inability to predict how devices will perform in the chassis cell using computer modelling. Our research in this area covers developing design methods based on Bayesian statistics that allow one to select devices based on their robustness to extrinsic noise constructing gene circuits with additional feedback mechanisms to increase robustness using fluorescent time course microscopy to track individual cells, extract time course data and fit quantitative models