Microsoft Azure CASE STUDY Powerful Microsoft Azure Platform

Microsoft Azure CASE STUDY Powerful Microsoft Azure Platform Makes the Future of Genomic Analysis Available Right Now “Microsoft Azure has allowed us to quickly deploy and deliver a scalable solution to our customers who need an enterprise-class bioinformatics solution. ” – Adina Mangubat, CEO and Founder, Spiral Genetics, Inc. MICROSOFT AZURE ISV: Spiral Genetics, Inc. WEB SITE: www. spiralgenetics. com LOCATION: Seattle, WA, USA ORG SIZE: 7 employees MICROSOFT AZURE ISV PROFILE: Spiral Genetics, founded in 2009 to advance the state of the art in whole genome analysis, partners today with leading institutions including Baylor College of Medicine and Mount Sinai to provide researchers and clinicians with the fastest, most accurate, powerful, economical, and scalable technology for managing whole genome data. Go-To-Market Services • SITUATION As the scientific understanding and medical value of genomics has exploded, the cost of sequencing a genome has dropped from $100, 000 to $1, 000. As a result, the number of genomes sequenced will grow from 500, 000 in 2016 to 20 million by 2020. Demanding HIPAA compliance, 100 gigabytes of storage, and days of processing, researchers and doctors faced a daunting IT challenge. Spiral Genetics had the solution but needed the right platform. • SOLUTION Spiral Genetics chose Microsoft Azure to help its customers manage highly sensitive medical data. Microsoft Azure provides a HIPAA-compliant computing environment able to interoperate with customers’ private clouds. Since genome files are over 100 gigabytes, Microsoft Azure’s high-speed onramp services are invaluable, as are Azure Virtual Machines. Spiral Genetics’ customers are global, and Azure provides them with convenient access through Azure Storage, great scalability, and continuous availability. • BENEFITS Azure’s capacity to scale and its VMs reliably support the intense compute and storage demands of genomic algorithms. Azure’s continuous operation and enterprise-level job management is key to analyzing a single genome, which can take over a day of compute.