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Lees Group

Pathogen informatics and modelling

Our group develops bioinformatic and mathematical modelling approaches to use sequencing data to better control pathogen threats. In particular, we study genome evolution, transmission, and the effects of vaccines and antimicrobial resistance in bacterial populations.

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Our group develops bioinformatic and mathematical modelling approaches to use sequencing data to better control pathogen threats. In particular, we study genome evolution, transmission, and the effects of vaccines and antimicrobial resistance in bacterial populations.

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Our main website is www.bacpop.org. Please see there for the most up-to-date information on the group.

Whole genome sequencing has the potential to be used within timescales short enough to inform interventions against infectious diseases. However, current methods are struggling to handle the speed and scale at which sequence data is now being generated. This limits our analysis power, the responsiveness of inference to new data, and ultimately our ambitions for the purposes for which genomes can be used.

We develop innovative, ethical and sharable approaches which help realise the power of sequencing to control pathogen threats. We are interested in both producing methods, and generating biological insights by applying these methods to data from a range of sources. We work both on bioinformatics and mathematical models, and sometimes combine the two.

We aim to be a diverse, inclusive and collegiate group, and will support members as collaborators with their own independent research interests.

Research areas

See https://www.bacpop.org/research/

Model of positive selection in porB
A model of selection in the porB gene of Neisseria meningitidis
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