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The UEA Computational Biology Group promotes an integrative philosophy to computational biology, with areas of research spanning the biological hierarchy from genome through to ecosystem.
In addition to carrying out high quality research with international and national partners, group develops computational biology with scientists across the Norwich Research Park (NRP). NRP represents Europe's largest and most successful single site concentration of research and development in the areas of plants, food, diet, health, the environment, and information systems.
Members of the group collaborate collaborate closely with computational biologists and other scientists from NRP institutions such as the School of Biological Sciences, the School of Environmental Sciences, the John Innes Centre, The Earlham Institute, Quadram Institute and the Sainsbury Laboratory.
If you are interested in studying for a research degree in Computing Science, visit Research Degrees for more information.
Research Themes
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Bacterial Genomics
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Environmental Genomics and Metagenomics
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Machine Learning in Computational Biology
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Population Genetics and Models
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Phylogenetics
Publications, Projects and Software
Publications
As a group, we are highly cited, have published in many high-impact journals and presented at prestigious, international conferences.
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Projects
Members of the Computational Biology Group are involved in various computational biology research projects, some of which are listed here.
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Software
Members of the Computational Biology Group are involved in the development of various computational biology software packages, some of which are listed here.
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Events
Members of the Computational Biology Group both attend and help organise international and local events. For one of the most recent events click here.
Funding
The computational biology group pursues a wide range of projects with funding from research councils, societies, governments and industry. This diverse financial support highlights the group's commitment to advancing research, innovation, and addressing real-world challenges.
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