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 Euan Sadler

Associate Professor

Research interests

  • Social science approaches and ageing
  • Person centred care
  • Older people living with frailty, dementia, stroke and multimorbidity

Accepting applications from PhD students

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Dr Eugen Stulz

Associate Professor

Research interests

  • DNA chemistry
  • Chemical Biology
  • Medicinal chemistry

Accepting applications from PhD students

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Dr Fatima Pereira

Lecturer in Molecular and Cellular Biosc

Research interests

  • Gut microbiome
  • Host-microbiota crosstalk
  • Microbiome One Health model for a healthy ecosystem

Accepting applications from PhD students

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Dr Felino Cagampang PhD

Associate Professor
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Professor Felix Eigenbrod

Professor of Applied Spatial Ecology

Accepting applications from PhD students

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Professor Fiona Woollard

Professor of Philosophy

Research interests

  • Philosophy of Pregnancy, Birth and Motherhood/ Parenthood
  • Normative Ethics.
  • Applied Ethics.

Accepting applications from PhD students

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Professor Francesco Shankar

Professor of Astrophysics

Research interests

  • Super-massive Black Hole Demography and Evolution
  • Galaxy Evolution: Spheroids and Bulges, Environment, High-redshift galaxies
  • Radio and Broad Absorption Line Active Galactic Nuclei
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Dr Franchesca Houghton

Associate Professor

Research interests

  • Pluripotent stem cells
  • Regenerative medicine
  • Preimplantation embryo 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: