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 Rodolphe Herve

Senior Research Fellow
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Professor Rohan Lewis PhD, FTPS

Prof of Placental&Integrative Physiology

Accepting applications from PhD students

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Dr Rosalia Moreddu

Senior Lecturer

Research interests

  • Bioelectricity
  • Cell Signalling
  • Nanoprobes

Accepting applications from PhD students

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Professor Roxi Carare

Head of School

Research interests

  • Causes and new therapeutic strategies for dementias and other neurodegenerative diseases
  • New early diagnostic measures in dementia based on biomarkers from the nose
  • Drug delivery to the brain

Accepting applications from PhD students

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Dr Ruben Sanchez-Garcia

Professor

Research interests

  • Network modelling and analysis
  • Applied Topology

Accepting applications from PhD students

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Professor Ruihua Hou MD, MSc, PhD, SFHEA

Associate Dean International

Research interests

  • 1) Psychoneuroimmunology studying how psychological processes, the central nervous system, and the immune system interact and impact mental health;          
  • 2) human psychopharmacology focusing on the role of the locus coeruleus in neurodegenerative and neuropsychiatric disorders, and novel interventions targeting the locus coeruleus-noradrenergic pathway;
  • 3) neuroinflammatory mechanisms underlying anxiety and affective disorders as well as comorbid anxiety, depression, and fatigue in inflammatory and autoimmune conditions.

Accepting applications from PhD students

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Dr Rujie Sun

Lecturer

Research interests

  • Medical Robotics (Micro/Nano Robotics, Soft Robotics)
  • Flexible Electronics
  • Wearable Devices

Accepting applications from PhD students

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Dr Russel Torah BEng, MSc, PhD

Associate Professor
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Dr Ruth Turk

Head of Department
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Dr Sajjad Taravati

Lecturer

Research interests

  • Metamaterials/metasurfaces/antennas
  • Electromagnetics/telecommunications
  • Superconducting quantum circuits

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: