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 Nazrul Islam MBBS, MSc, MPH, PhD

Associate Professor

Accepting applications from PhD students

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Dr Neil J. Gostling BSc PhD FLS

Associate Professor

Research interests

  • Evolutionary Biology
  • Palaeobiology
  • Molecular Biology

Accepting applications from PhD students

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Professor Neil White BSc, PhD, DSc, CEng, CPhys, FIET, FInstP, SMIEEE

Professor in Intelligent Sensor Systems

Research interests

  • Medical sensors
  • Intelligent sensor systemS
  • Energy harvesting

Accepting applications from PhD students

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Dr Nela Nikolic

Lecturer in Microbiology

Research interests

  • Roles of accessory genetic elements in bacterial resilience
  • Dynamic interactions between bacterial viruses (phages) and bacterial populations
  • Novel antimicrobial treatments and phage therapy against bacterial diseases

Accepting applications from PhD students

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Dr Nic Bury

Associate Professor in Natural Sciences

Research interests

  • Nic Bury's research integrates molecular, physiological and toxicological techniques with computational methods to understand and predict how aquatic organisms respond to, and are affected by, natural and man-induced stressors.
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Accepting applications from PhD students

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Professor Nicci Campbell BLog, MLog, PhD

Professorial Fellow Enterprise

Research interests

  • * Bilateral and bimodal cochlear implant fittings: optimisation and outcomes on real-life test measures 
  • * Beyond the audiogram: Development of real-life test measures
  • * Outcomes of self-funded CI users outside of NICE criteria, including sequential bilateral implantation and single sided deafness

Accepting applications from PhD students

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Dr Nicholas Fuggle

Associate Professor in Rheumatology
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Professor Nicholas Harvey

Director/Professor

Research interests

  • Lifecourse epidemiology of osteoporosis and fragility fractures
  • Understanding mechanism and development of novel interventions across lifecourse to prevent fragility fractures
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Dr Nicholas Kelley

Lecturer (A Prof) in Social Psychology

Research interests

  • Social and Affective Neuroscience
  • The Self
  • Self-Regulation

Accepting applications from PhD students

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Professor Nick Curzen BM(Hons) PhD FRCP

Professor of Interventional Cardiology
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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: