Next Generation Sequencing: Elements for SuccessMeeting dramatically increased computational and storage requirements of today’s life science instrumentsSuzanne Tracy, Editor in Chief
The latest generation of life science instruments boasts both huge advances in technology as well as significant reduction in costs. The affordability of these new instruments enables more scientists to engage in new areas of research and to use these tools to explore and deliver patient personalized medicine. Today’s sequencers are generating data more quickly and in much higher volumes than previous technologies. A single sequencer may produce a terabyte or more of data every few days.
This poses an opportunity and a challenge for scientists — and has identified new requirements for computing and storage to support the acquisition, analysis, interpretation, management and storage of data generated by these instruments. Dealing with large data sets, the growth of data, its management, and the complex computational analysis of that data is a classic description of high performance computing. As the research community adopts these new instruments, a robust HPC architecture is required to meet the dramatically increased computational and storage requirements resulting from this research.
“Next Generation Sequencing: Elements for Success,” the latest in
Scientific Computing’s educational Webcast series, recently brought together three expert panelists to discuss directions for next-generation sequencing, solutions available to provide the scalable HPC infrastructure demanded by the research, and successful implementation of next-generation sequencing in a clinical research environment. The original 60-minute broadcast is now available on-demand. Selected highlights from the discussion are presented in the excerpts that follow. To view the Webcast in its entirety, visit
www.ScientificComputing.com/sequencing.
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