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 Stuart Clarke PhD FRCPath FFPH

Professor of M'biology and Public Health

Accepting applications from PhD students

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Professor Sue Latter

Professor of Health Services Research

Research interests

  • Medicines management
  • Prescribing
  • End-of-life medicines management
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Professor Sumeet Mahajan MSc, MTech, PhD, FHEA, FRSC

Prof of Molecular BioPhotonics & Imaging

Research interests

  • New chemical biology methods based on Raman spectroscopy and label-free imaging
  • Methodology and device development for commercialisation and clinical translation
  • Neuro-diagnostics and early detection of dementia and neurodegenerative diseases

Accepting applications from PhD students

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Dr Sylvia Pender

Associate Professor
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Dr Tess Maguire

Principal Teaching Fellow
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Professor Thanassis Tiropanis

Professor

Research interests

  • Decentralised information systems and infrastructures
  • Decentralised information retrieval
  • Data (and Web) observatories

Accepting applications from PhD students

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Professor Thomas Blumensath

Professor

Research interests

  • I develop and study advanced algorithms that can solve challenging inverse problems by efficiently exploiting complex prior information. Using techniques from mathematics, statistics and machine learning, my work concentrates primarily on problems in x-ray tomographic image reconstruction and modelling.
  • I work closely with state-of-the-art imaging facilities (µ-VIS, the National Research Facility in Lab-based XCT, the UK’s synchrotron facility at the Diamond Light Source, and ISIS neutron imaging beamline) to find practical solutions to a range of important scientific problems from plant science to manufacturing.
  • My research interests cover areas such as: Theoretical and computational methods for Signal and Image Processing (Machine Learning, Compressed Sensing, Statistical Signal and Image Processing, Quantum Computing, Inverse Problems, Optimisation, X-ray Tomographic Imaging); Advanced tomographic imaging strategies: (limited angle tomography and laminography, Spectral X-ray imaging, Stereo and extreme limited view tomography); Efficient computational methods for tomographic reconstruction, including GPU acceleration, distributed computation and advanced optimisation strategies, Constrained optimisation for ill-conditioned and underdetermined   tomographic inverse problems, Applications of X-ray tomography to the inspection of manufactured components, Multimodal tomographic imaging

Accepting applications from PhD students

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Dr Thomas Richardson B.A.(Hons), D.Clin.Psych

Assoc Professor in Clinical Psychology

Research interests

  • Relationship between Financial Difficulties such as Debt and Impulsive Spending and Mental Health
  • Psychological understanding and treatment of Bipolar Disorder
  • Cannabis Use and Psychosis

Accepting applications from PhD students

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Professor Tim Fenton

Professor

Accepting applications from PhD students

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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

Accepting applications from PhD students

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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: