DDN Speeds Gene Sequencing at Stanford

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Today DDN announced that Stanford University Center for Genomics and Personalized Medicine has selected the company’s storage technology for supporting gene sequencing research. As one of the leading genomics centers in the world, Stanford uses rapid sequencing technology to bring advances from the laboratory to the patient.

To achieve marked performance gain over existing workflows, raw unprocessed sequencing data is staged to DDN’s GridScaler and S2A6620 storage systems from the center’s DNA sequencing instruments.

“Next-generation sequencing platforms like the Illumina HiSeq 2000 outputs hundreds of gigabytes of intermediate data per run, compounding into hundreds of terabytes to petabytes of genomics data per site,” said Paul Bloch, President, DDN. “The high throughput and scalability of the S2A6620 combined with the performance of the GridScaler file system dramatically reduce the data reduction phase of the Illumina CASAVA pipeline, which means researchers can spend more time on their life-saving work and less time waiting for results.”


  1. For many years, customers and OEM’s have relied on addig hardware at these HPC problems. I’m curious how much time is spent optimizing/parallelizing software to achieve better performance.