Making the most of ‘omics data: Manuel Mayr, King’s College London

Innovative analyses of large and (often) unstructured datasets, ranging from molecular data generated by ‘omics technologies to health data derived from patient records, have the potential to generate important new knowledge that impacts on the prevention, diagnosis, and treatment of cardiovascular disease. Such analyses require a collaborative effort between cardiovascular investigators and specialist data scientists.

This workshop presentation given by Prof. Manuel Mayr, co-hosted by the BHF (the largest independent funder of cardiovascular research in the UK) and the Turing (the UK’s national institute for data science) aims to inspire such cross-disciplinary collaboration by highlighting current opportunities and challenges in the field and by providing a venue for the communities to explore each other’s resources, capabilities and needs.