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.
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.
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.
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
Rothamsted Research scientists in collaboration with a EU consortium developed a model to predict the shift in distribution of ragweed in Northern latitudes in response to climate change.
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.
Employment vacancies - Computational and Systems Biology
We are seeking an enthusiastic Bioinformatics Scientist to join the Applied Bioinformatics group, working in conjunction with an existing team of experienced Bioinformaticians and software developers. Our group brings together biology, computational science and bioinformatics to make the most of big data from genomic research. You will work closely with other scientists on data intensive research projects from crops, pathogens, insects or microbes. We use the Galaxy bioinformatics platform for delivery of our data analysis resources and much of the work would be based around using or developing analytical and visualisation methods for use within Galaxy.
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