Accelerate and scale genomic analysis with open source analytics

Presented by

Chris Crosbie, Andrew Moschetti, Dr. Avantika Lal,

About this talk

By 2025, an estimated 40 exabytes of storage capacity will be required for human genomic data—which means you'll need large scale data analytics processing to leverage it. Explore how Google Cloud, Dataproc, and the open source community can give you fast customized clusters, tools to accelerate genomic analysis, and new solutions to build the future of personalized medicine. Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494865/

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