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 Cecilia D'angelo

Associate Professor
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Professor Charles Keevil

Professor In Environmental Health Care
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Dr Charlie Birts

Lecturer in Antibody Therapeutics

Research interests

  • Antibody Therapy
  • Metastic Breast Cancer
  • Obesity and Breast Cancer
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Dr Chengchen Zhang PhD

Lecturer

Research interests

  • Material-Bio Interactions Inspired Therapeutics
  • Material-Bio Interactions Enabled Biosensors
  • Biomimicry in Theranostics

Accepting applications from PhD students

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Dr Chieh-Hsi Wu

Lecturer in Statistics

Research interests

  • Statistical methods
  • Phylogenetics
  • Forensic science

Accepting applications from PhD students

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Dr Chris Franks

Lecturer in Life Sciences
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Professor Chris Freeman PhD, BEng, BSc, CEng, FIET

Professor

Research interests

  • Iterative learning and repetitive control theory and their experimental application to industrial systems and biomedical engineering
  • Biomechanics 
  • Motor learning and control

Accepting applications from PhD students

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Professor Chris Hauton PhD, FRSB, FMBA

Head of School

Research interests

  • Hauton has worked extensively with colleagues in India and Bangladesh since 2015 and has developed an international profile in shrimp health research, including contributing to the development of a mobile phone app, the 'Chingri Shrimp App', to support shrimp farmer training in Bangladesh.
  • Research has also included quantifying the potential toxic risk of deep sea mining of mineral resources. He was part of the leading team of the EC FP7 MIDAS Project, exploring the ecological risk of deep-sea mining, outputs from which led to contributions to the Royal Society Foresight Future of the Sea report (2016/17), to presentations at the UN International Seabed Authority in Jamaica, and expert contributions to the UN ISA ISA Legal and Technical Commision ISBA/27/C/11 'Guidelines for the establishment of baseline environmental data.'
  • Other activity

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: