Mathematical biology, analysis and prediction

Developing new theory, methods, tools and models.

An individual infection trajectory showing the simultaneous progression of infection severity (pathogen burden) and health over time (left), and clustering of individuals (represented by bubbles) according to their statistical similarity in infection trajectories together with representative infection trajectories of individual mice from different genetic backgrounds (right). Different genotypes are shown in different colours; different shades of colour indicate different infection outcomes. Statistical analysis of individual trajectories revealed that individuals that recover / do not recover from infections follow distinct infection paths, and that these are genetically determined. — An individual progression of infection severity and health (left). Clustering of individuals according to their statistical similarity in infection trajectories and infection trajectories of mice from different genetic backgrounds (right).

Our expertise in mathematical biology includes bioinformatics, epidemiology, mathematical modelling, quantitative and population genetics.

We develop new theory, methods, tools and models. Our research includes systems biology from the molecular (transcriptomics, gene networks) to the population (epidemiology, quantitative and population genetics) level.

Our research finds applications in selective animal (and plant) breeding and in the control of infectious diseases.

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For a list of researchers at The Roslin Institute working in this area, please click here.

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Mathematical biology, analysis and prediction

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