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

@gatk_dev

RT @JohnMHancock: @ Genome Science 2014 today and tomorrow
1 Sep 14
RT @KAngevi: Curious about how much faster GATK 3 is vs. GATK 2?? Check out my blog entry! http://t.co/cmUvJtcNk4 #Appistry
28 Aug 14
We're hiring! Looking for a developer to join us on a part-time basis to fix bugs. Remote OK but USA only. http://t.co/FILZWg07wx
28 Aug 14
Upcoming #GATK workshop at UPenn in Philadelphia, September 18-19, details at http://t.co/6mWQ4kbWct
28 Aug 14
We have a new favorite for best "meaning of SNP" answer: Still No Paper ! http://t.co/tuw7nOQIdt
27 Aug 14