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.
Peer reviewed publications from the Computational and Systems Biology Departments
Rothamsted scientists use mathematical modelling to predict how tree diseases spread, helping to inform national surveillance programs in the UK.
£2.4M research funding has been provided by the BBSRC in response to this devastating fungus that threatens our third most common broadleaf tree.
In a special edition of Plant Biotechnology, Rothamsted Scientists describe their innovative research that could produce novel plant oils to benefit human nutrition and the environment.
The group focuses on the integration of modelling with field and laboratory experiments to study population dynamics/epidemiology and evolutionary ecology of plants and their pests and pathogens.
Food security has become a major challenge given the projected need to increase world food supply by about 70% by 2050.
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...
The main focus of the bioinformatics group is on network based data integration for candidate gene prediction and prioritisation, and application to biological processes relevant to plant pathology and crop science.
The Applied Bioinformatics group has expertise in the development of software tools and application of data integration methods used to support systems and network-based approaches to the analysis of large genetic and genomics datasets.
The group has expertise in a wide range of statistical methods related to the design and analysis of field scale agro-ecology experiments - in particular in the application of mixed modelling methods.
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