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Systems and mathematical biology

We use mathematical and computational modelling to understand drivers of systems at different scales, from gene expression within individual cells to the spread of plant pathogens around the globe.

Headline research projects for this theme:

Generating spatio-temporal Genome Wide Regulatory Networks to identify key components of Carbon Concentrating mechanism in Chlamydomonas reinhardtii. Lead: Gita Yadav.

Using Ug99 wheat stem rust as a case study showing where and how computationally-intensive atmospheric dispersion models can predict plant pathogen spread at continental scales. Lead: Chris Gilligan.

A new algorithm determines precisely when and how to manage disease, balancing the cost of waiting against losses, enabling better targeting of control measures. Lead: Nik Cunniffe

Associated research groups:

Contributing research groups from associated institutions:


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