An Extensible Resource for Genomic Analysis and Petascale Storage

描述(由申请人提供)：此申请是为了获得可扩展的基因组分析和Petascale存储资源(ERGAPS)仪器：一个2 PB的数据存储紧密耦合到专门为支持基因组学相关研究而设计的数据分析计算集群。该设备将支持一个广泛和多样化的研究人员联盟(COI)，他们由NIH资助的研究项目要么完全依赖于它的能力，要么将从其能力中获得很大好处。该设备还将使临床和转化科学中心(CTSC)及其附属机构以及通过两个共享的核心设施(基因组资源核心和表观基因组学核心)进行数据密集型研究成为可能，这两个核心设施总共为80多个PI(几乎所有由NIH资助)提供服务。该仪器的COI研究所代表的科学的广度、广度和深度是引人注目的：它们从淋巴瘤、多发性硬化症、前列腺癌、结肠癌和肺癌以及炎症、艾滋病和免疫疾病，到出生缺陷和神经退化，再到心血管疾病和精神疾病。因此，这项研究得到了几个NIH研究所和中心的支持，包括NCI、NINDS、NHLBI、NCRR、NICHD和NIMH以及主任办公室。我们认识到，由个别实验室管理百万亿级的数据存储和分析所需的设备是不切实际的，我们建议通过专门的、专业管理的eRGAPS来满足这一需求。这一工具将促进对初级数据集的快速研究方案制定和重新分析，将促进研究人员之间的合作，并促进大型、高质量数据集的外部共享。仪器将在计算生物医学研究所(ICB)中进行技术上的容纳、维护和管理，该研究所由该应用程序的PI指导，并将集成到一个高性能的面向研究的计算基础设施中。技术行政和管理将由ICB的技术管理小组(TechMT)负责，该小组目前由五名开发和维护先进计算能力的高技能专家组成。对拟议设备的科学和业务监督将由PI负责，并由他将担任主席的管理和咨询委员会(MAC)提供支持，该委员会由eRGAPS的主要和次要用户以及具有适当经验的COI外部成员组成。该机构已承诺为这一工具提供大量资源，包括费用分担，该工具将作为基础和转化性生物医学研究和信息共享的基本工具。

DESCRIPTION (provided by applicant): This application is for the acquisition of an extensible Resource for Genomic Analysis and Petascale Storage (eRGAPS) instrument: a two petabyte data store tightly coupled to a data analysis computing cluster specifically designed to support genomics-related research. The equipment will support a broad and diverse consortium of investigators (COI) whose NIH funded research projects are either entirely dependent on, or would benefit substantially from, its capabilities. The equipment will also make possible data-intensive research within the Clinical and Translational Science Center (CTSC) and the institutions affiliated with it, as well as through two shared core facilities (the Genomics Resources Core and the Epigenomics Core), which collectively serve over 80 PIs (nearly all NIH-funded). The scope, breadth and depth of the science represented by the research of the instrumentation's COI are remarkable: they range from lymphoma, multiple sclerosis, prostate, colon and lung cancers and inflammation, AIDS and immune diseases, to birth defects and neurodegeneration, and to cardiovascular diseases and psychiatric disorders. Thus, the research is supported by several NIH institutes and centers, including NCI, NINDS, NHLBI, NCRR, NICHD, and NIMH as well as the Office of the Director. Recognizing that it is impractical for individual laboratories to manage the equipment necessary for data storage and analysis at the petascale, we propose to meet this need with the dedicated, professionally managed eRGAPS. This instrument will facilitate rapid research protocol development and reanalysis of primary datasets, will promote collaboration among researchers and facilitate extramural sharing of large, high-quality datasets. The instrumentation will be housed, maintained, and managed technically in the Institute for Computational Biomedicine (ICB) that is directed by the PI of this application, and will be integrated into a high-performance research-oriented computational infrastructure. Technical administration and management will be handled by the Technology Management Team (TechMT) of the ICB, currently comprising a highly skilled staff of five experts who develop and maintain advanced computational capabilities. Scientific and operational oversight of the proposed equipment will be the charge of the PI, supported by a Management and Advisory Committee (MAC) that he will chair and comprised of both Major and Minor eRGAPS users, as well as outside-COI member with appropriate experience. The institution has committed significant resources, including cost sharing, to this instrument that wil function as an essential tool for basic and translational biomedical research and information sharing.