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 Eamonn Reading

Associate Professor-Molecular Bioscience

Research interests

  • Membrane proteins
  • Mass spectrometry
  • Multidrug efflux pumps

Accepting applications from PhD students

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Professor Edd James

Associate Dean Infrastructure

Research interests

  • Antigen processing and presentation
  • Regulation of T cell responses in anti-tumour responses

Accepting applications from PhD students

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Dr Edilson Arruda

Associate Professor

Research interests

  • Healthcare modelling and optimisation
  • Optimisation under uncertainty
  • Markov decision processes

Accepting applications from PhD students

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Dr Elisa Fadda

Associate Professor in Pharmacology
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Dr Elisabeth Schroeder-Butterfill

Head of Department

Research interests

  • Care in later life
  • Long-term care
  • Older people's social and support networks

Accepting applications from PhD students

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Dr Emily Brookes

Lecturer in Biomedical Sciences

Research interests

  • Enhancer regulation of gene expression
  • Cortical development
  • Topological genome organisation

Accepting applications from PhD students

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Dr Emily Gwyer Findlay MSci PhD FHEA

Assoc Professor in Biomedical Sciences

Accepting applications from PhD students

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Dr Emily Swindle PhD

Associate Professor

Research interests

  • Mast cells
  • Viral induced exacerbations of respiratory diseases
  • Asthma
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Dr Emma Palmer-Cooper PhD, CPsychol, FHEA, AFBPsS

Lecturer B

Research interests

  • Metacognition in Psychosis and other serious mental health conditions
  • Creativity and Wellbeing
  • AI and Digital Mental Health

Accepting applications from PhD students

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Professor Emma Tompkins

Prof of Geog, Environment & Development

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: