{"id":728263,"date":"2021-02-23T12:50:37","date_gmt":"2021-02-23T20:50:37","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=728263"},"modified":"2021-02-23T12:50:37","modified_gmt":"2021-02-23T20:50:37","slug":"accelerate-precision-medicine-with-microsoft-genomics","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/accelerate-precision-medicine-with-microsoft-genomics\/","title":{"rendered":"Accelerate precision medicine with Microsoft Genomics"},"content":{"rendered":"
The cost of sequencing a human genome has dropped dramatically, from millions of dollars a decade ago, to only a thousand dollars. This has enabled research programs to sequence hundreds of thousands of
\npeople, and clinical programs to sequence patients\u2019 genomes as a standard part of their treatment process. This dramatic expansion of genome sequencing also demands a lot of data storage and computing
\npower, since each genome is about 60 Gb of compressed data, and normally requires about a thousand CPU-hours to process.<\/p>\n","protected":false},"excerpt":{"rendered":"
The cost of sequencing a human genome has dropped dramatically, from millions of dollars a decade ago, to only a thousand dollars. This has enabled research programs to sequence hundreds of thousands of people, and clinical programs to sequence patients\u2019 genomes as a standard part of their treatment process. This dramatic expansion of genome sequencing 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