Broad collaboration with Intel Bio Team

We're very excited to announce that we have started collaborating with a team from Intel (yep, that Intel) to optimize key parts of the GATK code to make it run faster. The first fruits of this collaboration --a set of hardware-based optimizations for the PairHMM algorithm in HaplotypeCaller-- are available as of today in version 3.1 of the GATK. Please see the release notes and version highlights in the Version History section of the Guide for details.

Of course this is only the beginning, and we're looking forward to delivering more performance improvements for various other GATK tools moving forward as part of this collaboration.

What's really cool is that this collaboration extends beyond our little GATK team; the Intel Bio Team is also going to be working with other groups at the Broad Institute to make their software run faster as well, all with the goal of accelerating scientific research and discovery.

For more details and background information, see the Bio-IT World story here: http://www.bio-itworld.com/2014/3/20/broad-intel-announce-speed-improvements-gatk-powered-by-intel-optimizations.html



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GATK Dev Team

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@_ramrs You're right, that's a typo. Will put in to-fix.
23 Feb 15
Registration now open for #GATK workshop March 19-20 at @broadinstitute (Cambridge, MA) https://t.co/yFFGouNOHE
23 Feb 15
RT @ryanjtaft: Clinical genomicists - looking for patients with RUNX3 mutations. We've got a singleton case who needs answers fast. Help?#g…
12 Feb 15
#GATK in the UK : April 20-24 workshops https://t.co/EIIPyuz2WQ
11 Feb 15
@_ramrs Pretty sure we have some openings atm, feel free to check out http://t.co/UjXXPH4ufI
11 Feb 15