An Open Source Precision Medicine Platform for Cloud Operating Systems

项目摘要 DNA测序和合成的快速改进有可能迎来一个精确的新时代 药然而，为了实现这一愿景，我们必须重新设想计算和存储基础设施 用于从大量数据集中管理和提取可操作的结果， DNA测序和合成生物学的进展。在本申请中，我们建议强化和改进 混合云硬件和软件平台，可以轻松地将生物医学分析和数据在 本地和远程计算存储资源，不仅符合机构政策， 用户对潜在时间和成本权衡的偏好。这样一个系统的300 TB、500核原型， 自2007年开始投入生产，并跨两个数据中心联合。这个原型已经被用于 在数十种出版物中为信息学分析做出贡献，这些出版物共收到1 000多份 引用。这一开源系统的商业化，将大大加快这一赠款， 允许组织无缝跨越内部部署和托管的云操作系统， 数据管理和计算，同时促进遵守机构政策和法规 要求.

Project Summary 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 this application, we propose to harden and improve a hybrid cloud hardware and software platform that can effortlessly move biomedical analyses and data between local and remote computational storage resources in compliance with not only institutional policies but also user preference for underlying time and cost trade-offs. A 300TB, 500-core prototype of such a system has been in production since 2007 and federated across two data centers. This prototype has been used to contribute to informatics analyses in dozens of publications, which have collectively received over 1,000 citations. Commercialization of this open-source system, 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.