Research group

BiOmics

Bar coded DNA sample

Technological advances have allowed scientists to gather large amounts of data about a vast array of species, organisms and single cells. Our researchers are using mathematical modelling, machine learning and other algorithms to extract information and patterns from large data sets to further our understanding of disease.

About

Contemporary scientific research benefits from rapid technological developments that enable the characterisation and quantification of biological molecules at unprecedented scale. Scientists can generate vast data that provide insight into the complex interplay of molecules within organisms. Interrogation and interpretation of these data inform the structure, function and interaction of molecules over time. 

We use ‘Omic technologies comprehensively to evaluate DNA (genomics), RNA (transcriptomics) and proteins (proteomics). We study small molecules using metabolomics. Microorganisms are investigated in a targeted manner using microbiomics or more broadly to characterise mixed samples using metagenomics.

At the University of Southampton, we generate vast datasets using these approaches across a wide range of environments and species. We work closely with NHS partners to use these capabilities to understand human disease and inform its clinical management. We bring together medical and biological scientists with mathematicians, computer and data scientists to develop and apply methods that exploit these data to their fullest potential.

From analysing patient genomes, to carrying out metagenomic analysis of water samples to using mass spectrometry metabolic profiling techniques, our scientists are studying the unique processes that take place within cells that can lead to disease or poor health outcomes in humans and help track changes in the environment.   

We are using data to answer clinical questions in areas such as cancer, autoimmune and respiratory diseases with the help of clinical colleagues we are translating our findings into novel techniques for clinicians to treat their patients, make predictions about prognosis and drug responsiveness.

Our researchers collaborate with partners at:

People, projects and publications

People

Professor Tim Fenton

Professor

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Professor Tim Minshull

Professor in Ocean & Earth Science

Research interests

  • Continental breakup and the onset of seafloor spreading
  • Methane hydrate beneath the seafloor and its role in the Earth system
  • Exploration geophysics: seismic and electromagnetic imaging

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Professor Tim Underwood

Professor of Gastrointestinal Surgery
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Professor Tim Wildschut FAcSS

Prfssr of Social & Personality Psycholog

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Professor Tom Bibby

Professor of Biological Oceanography

Research interests

  • (1) The role of photosynthetic microbes in global biogeochemical cycles(2) The use of photosynthetic microbes for sustainable products

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Professor Tom Ezard

Associate Dean Education

Research interests

  • The bridge from micro- to macroevolution.
  • Scaling ecological dynamics across individuals, populations and ecosystems.
  • Demography for conservation and life history evolution.

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Professor Tom Wilkinson MA, Cantab, MBBS, PhD, FRCP

Associate Dean Enterprise

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Professor Tomas Polcar

Professor of Materials Sci and Tribology
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Professor Tracey Newman

Professor

Research interests

  • The demographic of populations worldwide is changing. People are living longer but with more years with affected by disability in the last two decades of life. The societal and economic consequences of this change are not being well managed. There is a lag in the development of health interventions and a need for rapid learning for future health and infrastructure planning. Typically, people in poorer economic situations are disproportionately affected by disability in later life.
  • Hearing loss and dementia: I lead multidisciplinary research focussed on hearing loss, the use of cochlear implants to restore hearing in otherwise deaf people and the interaction between hearing loss and dementia.
  • My focus is understanding cellular mechanisms in these conditions and also how the learning and methodologies used to investigate this can be applied across discipline boundaries. I am driving the implementation of data science methodologies for improved management of people who hear with cochlear implants and for the identification of early indicators of cognitive decline. I am championing the engagement of patients in research and as ambassadors to increase awareness of healthcare interventions amongst hard to reach and marginalised communities.

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Dr Tracy Melvin

Associate Professor
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We are at a very exciting time in Life Science Research. The potential for novel discovery using ‘omics technologies combined with the computer science methodologies is immense.
Professor of Genomics

Related research institutes, centres and groups

Related research institutes, centres and groups

Contact us

Contact us

Contact the Institute for Life Sciences team by emailing: