Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Oxford has particular strengths in bioinformatics and statistical genetics in the Department of Statistics and the Wellcome Trust Centre for Human Genetics, which is part of the Nuffield Department of Clinical Medicine.

Groups in these departments have developed many of the methods now used worldwide in genetic association studies in humans and rodent models and in high-throughput DNA sequence analysis. DNA and protein sequence analysis and functional annotation is concentrated in the Department of Statistics and the MRC Functional Genomics Unit. There is a strong tradition of protein structure analysis in several groups in Oxford, notably in the Structural Biology Division of the Nuffield Department of Clinical Medicine and the Structural Bioinformatics and Computational Biochemistry Unit in the Department of Biochemistry.

An exciting new development is the Big Data Institutea centre of excellence for the analysis of large and complex data sets for health research aiming to develop, evaluate and apply methods to identify associations between lifestyle exposures, genetic variants, infections and health outcomes.

Researchers in Oxford form part of the MRC Centre for Genomics and Global Health, an international collaboration that integrates genomic and population genetic data with clinical and epidemiological data to understand and combat globally important infectious diseases.

The Deep Medicine Programme of the Oxford Martin School at The George Institute for Global Health applies established and novel techniques in data mining, machine learning and deep learning to complex biomedical datasets to generate insights into complex disease patterns, risk trajectories and treatment effects.

The Nuffield Department of Primary Care Health Sciences also has one of the strongest statistical groups in the UK (across all clinical areas) with a particular emphasis on monitoring.

There are many potential researchers in this theme that are not listed here because they are not in the Medical Sciences Division. They can be found in the Departments of StatisticsMathematics, Computer Science, Plant Sciences, and Zoology. Many of these supervisors are associated with relevant Structured DPhil Programmes including Genomic Medicine and Statistics.

Supervisors in Bioinformatics, Statistics and Computational Biology