#iobytes #io14 #cloud #cloudplatform #bigdata
As the cost of DNA sequencing has dropped, the volume of data produced has risen into the petabytes. Google is working with the genomics community to define a standard API for working with big genomic data sets in the cloud. Building on Google Cloud Platform, we show how to store, process, explore and share genomic data using technologies like BigQuery, AppEngine MapReduce, R and more.
Thanks for looking at this. It's a complicated idea and hard to summarize in posts. There's several ways this model could be deployed. I'm working on a few paths.
I think the major researsh/ teaching hospitals would do well to consider biological domains for the portable portion of patient health records. It's a powerful model and solves a lot of problems of consent, scale and data quality over time. Any entity can head in this direction unilaterally.
Feel free to drop me a note if you have any other questions.
- DNA Guide, Inc.Founder, President, 2009 - present
Tags: Big Data, Biological Domains, Personal Genomics, Bioinformatics, Privacy, EMR, EHR, Patient Engagement, Personalized Medicine, Startup, Entrepreneur, DNA, Ted, Health 2.0 Launch, SingularityU, Women 2.0, Stanford, Entrepreneur Personalized Medicine,
- UC Davis, Stanford