Stepping Up to Life Science Storage System Challenge

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Stepping Up to the Life Science Storage System Challenge
Storage and data management have become the perhaps the most challenging computational bottlenecks in life sciences (LS) research. The volume and diversity of data generated by modern life science lab instruments and the varying requirements of analysis applications make creating effective solutions far from trivial. What’s more, where LS was once adequately served by conventional cluster technology, HPC is now becoming important – one estimate is 25% of bench scientists will require HPC resources in 2015.