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And it's not like there isn't precedent. I remember a couple years ago when Google showed off gene mapping at I/O (Urs' demo to visualize how easy it was to sc
by eitally 11y ago
And it's not like there isn't precedent. I remember a couple years ago when Google showed off gene mapping at I/O (Urs' demo to visualize how easy it was to scale GCP From 1 to 10 to 1000 to 100000 cores), and now they've partnered with the Broad Institute to apply this more generally.
http://www.broadinstitute.org/google http://www.broadinstitute.org/google
- dekhn 11y agoI was the person on stage with Urs who ran the demo (I'm a computational biologist who went to Google to help them build this kind of infrastructure, because DOE wasn't doing it). Read more about the demo here: https://cloud.google.com/compute/io https://cloud.google.com/compute/io I also helped create the original idea for the Broad collaboration. It was pretty obvious that standard HPC was a waste of money and not designed for high throughput biology, while Google published numerous papers (MapReduce, GFS, Bigtable) that demonstrated they were building infrastructure that was perfect for a wide range of computational biology programs.