Bigger than Big Data: The Key to Successful Translational Science

Scientific Computing

April 2014

Is Big Data really the biggest challenge at the moment for translational science? Certainly there are issues with the complexity and size of omics data, which Big Data techniques can help address, but there are two more pressing challenges: enabling collaboration whilst facilitating information sharing, and the ability to better interpret multiple different omics data (multi-omics). By Robin Munro, Director of Translational Sciences, IDBS.

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