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Amazon Web Services And The US National Institutes Of Health Announce The Largest Catalog Of Human Genetics Is Now Available In The Cloud

Amazon Web Services LLC (AWS), an Amazon.com company (NASDAQ:AMZN) and the United States National Institutes of Health (NIH) today announced at the White House Big Data Summit that the complete 1000 Genomes Project is now available on AWS as a publicly available data set. Today’s announcement makes the largest collection of human genetics available to researchers worldwide, free of charge. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research. The 1000 Genomes Project aims to include the genomes of more than 2,600 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the public data set this year. To access the 1000 Genomes Project Data, visit http://aws.amazon.com/1000genomes.

The National Institutes of Health is part of the U.S. Department of Health and Human Services, and serves as one of the data coordinators for the 1000 Genomes Project. “Previously, researchers wanting access to public data sets such as the 1000 Genomes Project had to download them from government data centers to their own systems, or have the data physically shipped to them on discs. This process took a long time, and that’s assuming a lab had the bandwidth to download the data and sufficient storage and compute infrastructure to hold and analyze the data once they had it,” said Lisa D. Brooks, Ph.D., Program Director for the Genetic Variation Program, National Human Genome Research Institute, a part of NIH. “We are happy that the 1000 Genomes Project data are on AWS to give researchers anywhere in the world a simple way to access the data so they can put the data to work in their research.”

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