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 Simon Coles

Professor of Structural Chemistry

Research interests

  • The work we do is highly collaborative and multidisciplinary and can broadly be split into three overlapping themes:
  • 1) National Crystallography Service (NCS, www.ncs.ac.uk) & Physical Sciences Data-science Service (PSDS, www.psds.ac.uk) These national centres provide centralised facilities for UK researchers at a level that is beyond that achievable in any single institution. The NCS provides data collection and crystal structure analysis for the UK chemistry community. It also performs projects based on more advanced techniques, involving a dedicated team of experts employing cutting edge techniques and the use of very high-powered laboratory diffractometers or the UK synchrotron, Diamond. The PSDS provides national-level access to databases and is building infrastructure on top of these to drive and support data-driven approaches to scientific discovery.
  • 2) Structural Chemistry We have an interest in determining the mechanisms of solid-state reactions and transformations and use a variety of diffraction and physical characterisation methods for this. Other work focuses on discovering and investigating structure-property relationships, the determination of charge densities and their properties and 'value-added' quantum mechanical calculations to compute properties from crystal structures. We also collaborate with other disciplines in a number of areas such as macromolecular crystallography (Biology), crystal growth (biology) and CT imaging (Engineering).

Accepting applications from PhD students

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Professor Simon Cox

Head of Department

Research interests

  • My research focusses on computational tools, technologies and platforms and how they enable interdisciplinary problems to be solved in engineering and science.His team in the Computational Engineering and Design Group is applying and developing high performance and cloud computing in a variety of collaborative interdisciplinary computational science and engineering projects. These include:
  • High Performance and novel Computing SystemsCloud Computing and commercial distributed computing - which led to a spin out companyApplied computational algorithms Computational electromagnetics– which led to the formation of a spin-off company.New algorithms such as meshless methods and fast solvers.Data Management Simon is also Director of the Microsoft Institute for High Performance computing where he demonstrates why, where and how current and future Microsoft tools and technologies can be exploited to enable engineering and scientific research to deliver faster, cheaper and better results.
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Dr Sofia Michopoulou PhD

Accepting applications from PhD students

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Professor Sonia Zakrzewski

Prof of Bioarchaeology & BioAnthropology

Research interests

  • bioarchaeology and palaeopathology
  • disAbility, impairment, injury and disease
  • race, migration and mobility

Accepting applications from PhD students

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Dr Srinandan Dasmahapatra

Associate Professor
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Professor Stefan Bleeck

Prof of Hearing Science and Technology

Research interests

  • The aim of my work is to understand how we hear sound and to use this knowledge to create bio-inspired solutions to enhance speech communication.
  • I have continuously worked on various aspects of hearing research and technology and have been principal investigator on various research grants (EU, EPSRCS, etc) with a value of more than £2M. I am team leader with an internationally recognised research programme to develop devices that help normal hearing and hearing-impaired people to communicate better in noise. Methodologies include brainstem physiology, neuronal simulations, deep learing, psychophysics, pupil tracking and other physiological measurements. 

Accepting applications from PhD students

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Dr Stephan Onggo PhD, SFHEA

Professor of Business Analytics

Research interests

  • Simulation Modelling Methodology
  • Behavioural Modelling using Simulation
  • Simulation for real-time decision making (digital twin)

Accepting applications from PhD students

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Professor Stephen Beers

Professor of Immunology & Immunotherapy

Accepting applications from PhD students

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Professor Steve Darby

Associate Dean Research

Research interests

  • River and coastal flooding - relationships between geomorphology and flooding in rivers and deltas
  • Biogeomorphology - interactions between river processes and life
  • River bank erosion processes

Accepting applications from PhD students

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Dr Steven Glautier

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: