Data science

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.

Academic lead

Irina Udalova

Professor of Molecular Immunology

Co-leads

Stephen Sansom

Associate Professor

Brian Marsden

Associate Professor, Research Informatics; Associate Head of Medical Sciences Division - Digital and Information

KEY COLLABORATORS

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.

Lada Koneva

Research Associate in Bioinformatics

Key publications

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity.

COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium. Electronic address: julian.knight@well.ox.ac.uk None. and COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium None., (2022), Cell, 185, 916 - 938.e58