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 Andrew Lotery

Professor of Ophthalmology

Research interests

  • Ocular clinical trials
  • Age related macular degeneration
  • Central serous chorioretinopathy
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Dr Andrew Walls

Reader
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Dr Andy Van Hateren

Senior Research Fellow

Research interests

  • Immunology.
  • Cancer.
  • MHC I peptide selection.
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Mrs Angela Cree

Senior Research Manager

Research interests

  • Molecular Biology
  • Ophthalmic Genetics
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Dr Angus Wann PhD

Associate Professor in Cell Physiology

Research interests

  • Mechanobiology
  • Primary Cilia
  • Developing developmental engineering approaches to tissue biology 

Accepting applications from PhD students

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Dr Ann-Marie Hughes

Associate Professor
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Professor Anna Barney

Associate Vice-President (Education)
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Dr Anna Hickman

Lecturer

Research interests

  • The role of marine phytoplankton in biogeochemical cycles
  • Phytoplankton ecology, primary production, photo physiology and bio-optics
  • Understanding the physical controls on biological processes and associated feedbacks
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Professor Anne-Sophie Darlington

Personal Chair

Research interests

  • Measurement of quality of life
  • Development of quality of life instruments
  • Investigating the relationship between coping strategies and well-being

Accepting applications from PhD students

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Dr Antonella Ianni PhD

Associate Professor

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: