Mount Sinai researchers use the AWS Cloud to manage and extract meaningful information from mountains of genomic data stored on Amazon Simple Storage Service (Amazon S3), with additional storage on Amazon Glacier. “By isolating our data stores and middle tiers from network exposure to the Internet, we keep all of our servers private, ensuring a radically reduced security footprint,” Sanga says. Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Email Service (Amazon SES) provide outbound messaging services for both administrators and end users who require notifications and alerts.Įlastic Load Balancing helps Station X make sure it has a scalable web and API architecture that is both resilient and secure in its Amazon VPC environment, isolating data stores and middle tiers from network exposure to the Internet. Mount Sinai uses AWS Identity and Access Management (IAM) for user authentication, allowing account access control and management using the AWS Access Control Lists (ACL) to provide a secure and centralized user and credential management. But by using AWS and GenePool, we met the required standards for confidentiality.” By using AWS, Station X is able to provide preapproved researchers access to The Cancer Genome Atlas’ controlled-access data, which enables authorized users to “compute and make sense of somatic and germline mutations in patients with either breast cancer or ovarian cancer,” Sanga says. “Maintaining the confidentiality of our patients is of primary importance to us-particularly with the sheer amount of data being generated,” Martignetti says. And we chose AWS because the number of services offered is so competitive.” Using AWS allowed Station X to focus on designing the GenePool platform to help researchers quickly and securely understand their sequenced data.įor Mount Sinai researchers, keeping patient data secure is critical. “We built GenePool on AWS to give researchers a place to manage and analyze enormous amounts of data.
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#Sinai imail software
“AWS is a natural place to build software environments,” says Sandeep Sanga, Vice President of Products at Station X.
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It was clearly a job for cloud computing.Īmazon Web Services (AWS) is the foundation for Station X’s genomics platform, GenePool, which can dynamically scale to analyze tens of thousands of genomes in minutes. Mining information from terabytes of genomic data-and making sure that information is secure-calls for a flexible, high-performance platform with big-data storage and stringent access control. Station X develops GenePool™, a genomics software platform for scientists and clinicians who work with human genomics data in both early-stage research and clinical settings. Martignetti and Dottino were able to enlist the help of a solution provider who could provide a robust and secure analytical platform for the work. Researchers are trying to find the missing genetic links in those who do not carry a BRCA1/2 mutation.
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Of all the women with an inherited genetic risk of developing either cancer, germline mutations in either BRCA1 or 2 account for about half. It’s a significant problem that requires considerable computing power as scientists analyze more than 100 TB of data, come up with new hypotheses, and reanalyze the data. TCGA is a joint effort of the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI), two of the 27 Institutes and Centers of the National Institutes of Health, U.S. TCGA is a comprehensive and coordinated effort to accelerate our understanding of the molecular basis of cancer through the application of genome analysis technologies, including large-scale genome sequencing. Dottino at Mount Sinai and their collaborators at Station X are mining the more than 2,000 breast and ovarian tumor and germline DNA sequences generated by The Cancer Genome Atlas Consortium (TCGA). Researchers and physicians at the Icahn School of Medicine are trying to unlock the genetic secrets of breast and ovarian cancers.