An Open Source Precision Medicine Platform for Cloud Operating Systems

 描述(由申请人提供)：DNA测序和合成的快速改进有可能开启精确医学的新时代。然而，为了实现这一愿景，我们必须重新想象用于管理海量数据集并从海量数据集中提取可操作结果的计算和存储基础设施，这些海量数据集是由DNA测序和合成生物学的广泛可用的进步实现的。我们建议与全球基因组学与健康联盟(GA4GH)一起构建Arvados平台，以便临床决策支持应用程序的新生态系统能够导航数PB的全球生物医学数据，并实时(秒)搜索数百万个基因组。我们的团队在商业成功和高影响力的科学研究方面有着公认的记录。这一免费开放源码软件(FOSS)平台的商业化进程将大大加快，这将使组织能够无缝地跨越本地和托管的云操作系统，并极大地简化数据管理和计算，同时促进遵守机构政策和监管要求。

 DESCRIPTION (provided by applicant): Rapid improvements in DNA sequencing and synthesis have the potential to usher in a new era of precision medicine. To realize this vision, however, we must re-imagine the computational and storage infrastructure used to manage and extract actionable results from the massive data sets made possible by widely available advances in DNA sequencing and synthetic biology. In conjunction with the Global Alliance for Genomics and Health (GA4GH), we propose to build the Arvados platform so that a new ecosystem of clinical decision support applications will be able to navigate petabytes of global biomedical data and search millions of genomes in real-time (seconds). Our team has a proven track record of commercial success and high impact scientific research. Commercialization of this free and open-source software (FOSS) platform, which will be greatly accelerated by this grant, will permit organizations to seamlessly span on-premise & hosted cloud- operating systems and vastly simplify data-management & computation, all while facilitating compliance with institutional policies and regulatory requirements.