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

Dr Chris McCormick BSc, DPhil, PGCert

Associate Professor

Research interests

  • Positive strand RNA virus replication
  • Viral proteases
  • Viral host pathogen interactions

Accepting applications from PhD students

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Professor Chris Skylaris

Professor of Computational Chemistry

Research interests

  • Development of large-scale electronic structure methods, based on Density Functional Theory within the ONETEP program (onetep.org)
  • Development of atomistic and multiscale simulation methods for materials using quantum and classical methods, and machine-learned potentials
  • Application of these simulation methods to discover advanced materials in technologically relevant problems such as batteries, hydrogen fuel cells and drud optimisation

Accepting applications from PhD students

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Dr Chrissie Jones BMedSci, BMBS, FRCPCH, PgcertHBE, FHEA, PhD

Assoc Prof Paeds Infection & Immunology

Research interests

  • Vaccination in pregnancy
  • Infection risk reduction in pregnancy
  • Congenital infections

Accepting applications from PhD students

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Professor Christian Knigge

Professor of Astrophysics

Research interests

  • accretion phenomena and associated outflows
  • cataclysmic variables
  • close binaries
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Dr Christina Saville MSc, PhD, AFORS

Lecturer in Healthcare Management

Research interests

  • Safe staffing
  • Operational research techniques applied to healthcare
  • Health workforce
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Professor Christine Currie

Professor of Operational Research

Research interests

  • Simulation optimisation
  • Healthcare management
  • Decision making under uncertainty

Accepting applications from PhD students

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Dr Christoph Witzel

Associate Professor

Research interests

  • My main technical expertise is colour psychophysics and behavioural experiments.The main focus of my work has been the role of language and experience in colour perception.More broadly, I am interested in how culture and experience shape automatic assumptions to form our subjective reality.See also "About", and for recent developments and PhD opportunities, see Lab Website.

Accepting applications from PhD students

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Dr Claire Clarkin

Assoc Prof in Develpmtl & Skeltl Biology
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Professor Claire Foster

Professor of Psychosocial Oncology

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: