Rothamsted Research

where knowledge grows

Computational and Systems Biology

The Computational and Systems Biology Department undertakes research and development in mathematical, statistical and computational solutions to biological problems at all levels of biological scale. We are developing methods, models and software which contribute to all of the strategic programmes within Rothamsted Research.

Head of Department: Prof. Chris Rawlings
Departmental Secretary: Di Dawkins

Research Teams

Modelling crops for food security

Modelling crop-climate interactions

We are developing mathematical and simulation models of crop-climate interactions to quantify future threats to crops and hence identify targets for crop improvement in a changing climate.

Movement Pattern Modelling

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Our research on Movement Pattern Modelling uses advances made in the novel physics and mathematics of optimal searching, random walks and turbulence to develop predictive...

Applied Bioinformatics

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The Applied Bioinformatics group brings together expertise in biology, computer science and bioinformatics to tackle effeciently data intensive research questions. We put strong emphasis on collaboration, training and R&D. 

Applied Statistics

The group provides statistical consultancy and training, primarily for staff and students within Rothamsted Research, and is involved in collaborative research projects, at Rothamsted and elsewhere, where a substantial statistical contribution is required

Department Articles

Statistics and Bioinformatics Training

The Applied Statistics and Applied Bioinformatics Groups have developed a series of training courses to support the application of quantitative tools to add value to the institute scientific research programme.

Modelling the spread of emerging epidemics; the case of Citrus Greening

Researchers develop a model allowing characterisation of the disease transmission process

Scientists at Rothamsted Research, working alongside Cambridge University have developed a model allowing characterisation of the disease transmission process, even when epidemiological data are limited due to the presence of control measures.

Department Press Releases