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MICA: UK MEDical BIOinformatics partnership - aggregation, integration, visualisation and analysis of large, complex data (UK MED-BIO).

Paul Elliott

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Medical Research Council (MRC)
UK MED-BIO brings together a multidisciplinary team in medical and computing science, statistical analysis, metabolic phenotyping and medical bioinformatics across Imperial College London (ICL, lead institution), Institute of Cancer Research, European Molecular Biology Laboratory-European Bioinformatics Institute, Universities of Oxford, Swansea and Nottingham, MRC Clinical Sciences Centre and MRC Human Nutrition Research - supported by strong industrial partnerships and collaborations. The aim is to bring together the necessary patient data, new omics technologies, computing and other resources, with dedicated infrastructure in data management, storage, integration, visualisation and analysis, to enable major advances in understanding the aetiopathogenesis of chronic human diseases. We have powerful world-leading expertise in metabolic phenotyping through the MRC-NIHR National Phenome Centre at ICL, and in innovative software infrastructure solutions through our leadership position in developing tranSMART and eTRIKS. We will provide unprecedented capacity to i) combine lifestyle/socio-demographic information, clinical data, and disease phenotypes from well characterised patient and population cohorts, with multi-omic information from analysis of linked biological samples; ii) develop powerful new approaches to integration/analysis of such large-scale, complex, multi-source medical data; hence iii) create new knowledge on disease aetiology, underlying biochemical pathways and mechanisms, leading to improved patient stratification, prevention and treatments; iv) transform the training/development of medical bioinformatics future leaders by providing a seamless interdisciplinary environment, bringing together researchers from biomedicine, physical sciences, computing and engineering. This application is strengthened by ICL's decision to establish a major interdisciplinary 'big data' centre at the Imperial West campus, ensuring sustainability over the long term.

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