The Data Science platform provides the Kennedy Institute with internationally competitive capabilities for computational biology research. It supports research activity in data management, computational genomics, statistical genetics, metagenomics, computational and mathematical biology, and clinical trials. These studies are conducted by specialist computational biology research groups, as well as by research groups working in other areas who incorporate computational approaches into their analyses.
Research is supported by an in-house single cell and spatial genomics facility, access to a state-of-the-art high-performance research computing cluster and dedicated infrastructure to manage, curate and mine patient data.
The Data Science platform underpins the Kennedy Institute research activities in multiple areas and closely interacts with all the other Institute platforms. It also provides collaborative support for computational projects within and outside the Kennedy Institute.
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Secondary influenza challenge triggers resident memory B cell migration and rapid relocation to boost antibody secretion at infected sites.
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IL-1-driven stromal-neutrophil interactions define a subset of patients with inflammatory bowel disease that does not respond to therapies.
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Deconvolution of monocyte responses in inflammatory bowel disease reveals an IL-1 cytokine network that regulates IL-23 in genetic and acquired IL-10 resistance.
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SARS-CoV-2 antibody prevalence, titres and neutralising activity in an antenatal cohort, United Kingdom, 14 April to 15 June 2020.
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Small research facilities