Big data: challenges and opportunities
Posted by Disease Models and Mechanisms, on 11 May 2016
“With great power comes great responsibility”
In recent years, next-generation-sequencing approaches have churned out a huge amount of ‘big dat
a’ – a wealth of digital information that could one day have a powerful impact on biomedical research. Recognising the potential of big data to improve our understanding of human health and disease, the NIH partnered with the Wellcome Trust to launch a global science competition, The Open Science Prize, in which applicants are asked to develop tools and technologies designed to harness the power of big data. These innovations aim to tackle some of the obstacles that the scientific community have identified in converting big data to knowledge. In a new Editorial published in Disease Models & Mechanisms, Elaine Mardis highlights some of the key challenges involved and proposes solutions. Elaine, who is Co-Director of the McDonnell Genome Institute, has a long-standing interest in the development of sequencing technologies and their clinical implementation. Read her Editorial in full here.
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