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Considering adding a vendor with a difference to your product portfolio? Then join this webcast to hear more about the innovative work SGI products are involved in and create differentiation for your company.
Next generation sequencing promises to revolutionize the way in which biological phenomenon are studied. Unlike traditional Sanger sequencing, where production was measured in hundreds or thousands of bases, next generation sequencing, can produce billions of base pairs of data every day from whole genomes, specific tissues, or parts of the genome, during specific stages in an organism's development. While this newfound ability to generate massive quantities of data has opened up novel avenues of study, it has challenged the existing computational infrastructure, including traditional distributed compute clusters.
Hear how Dr. Matthew MacManes of UC Berkeley has been able to leverage the shared memory architecture of the SGI UV against problems that just a few years ago were considered intractable. See how SGI solutions deliver the speed and scale for the most demanding computational workloads in biosciences.
Learn more about: - How to accelerate genomics and imaging research using highly scalable shared memory
- Addressing huge amounts of data and moving it quickly into and out of the system
Speakers: - Dr. Matthew MacManes Post-Doctoral Fellow, UC Berkeley
- Jill Matzke, Director Product Marketing, SGI
Event Information: - Date: Tuesday, February 28th
- Time: 4 PM GMT, 11 AM ET, 8 AM PT
For more information about how SGI can help you manage your big data needs, 978-318-9000 |
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