An Extensible Resource for Genomic Analysis and Petascale Storage

用于基因组分析和千万亿级存储的可扩展资源

• 批准号: 8333728
• 负责人: HAREL WEINSTEIN
• 金额: $ 184.97万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8333728
• 关键词: Acquired Immunodeficiency Syndrome; Advisory Committees; Biomedical Research; Cardiovascular Diseases; Center for Translational Science Activities; Charge; Clinical Sciences; Collaborations; Colon Carcinoma; Commit; Congenital Abnormality; Core Facility; Cost Sharing; Coupled; Data; Data Analyses; Data Set; Data Storage and Retrieval; Equipment; Extramural Activities; Funding; Genomics; Housing; Immune System Diseases; Individual; Inflammation; Institutes; Institution; Laboratories; Lymphoma; Malignant neoplasm of lung; Malignant neoplasm of prostate; Mental disorders; Minor; Multiple Sclerosis; National Center for Research Resources; National Heart, Lung, and Blood Institute; National Institute of Child Health and Human Development; National Institute of Mental Health; National Institute of Neurological Disorders and Stroke; Nerve Degeneration; Performance; Research; Research Personnel; Research Project Grants; Resources; Science; Technology; United States National Institutes of Health; cluster computing; computer infrastructure; design; epigenomics; experience; instrument; instrumentation; meetings; member; protocol development; tool

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.

描述（由申请人提供）：本申请用于获取可扩展的基因组分析和 Petascale 存储资源 (eRGAPS) 仪器：一个 2 PB 数据存储，与专门设计用于支持基因组学相关研究的数据分析计算集群紧密耦合。该设备将支持广泛而多样化的研究人员联盟（COI），其 NIH 资助的研究项目要么完全依赖于其能力，要么将从其能力中受益匪浅。该设备还将使临床和转化科学中心 (CTSC) 及其附属机构内的数据密集型研究成为可能，并通过两个共享核心设施（基因组资源核心和表观基因组核心）进行数据密集型研究，这两个核心设施共同服务于80 名 PI（几乎全部由 NIH 资助）。仪器 COI 研究所代表的科学范围、广度和深度都是引人注目的：范围从淋巴瘤、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行性疾病，以及心血管疾病和精神疾病。因此，该研究得到了多个 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。认识到单个实验室管理千万亿级数据存储和分析所需的设备是不切实际的，我们建议通过专用、专业管理的 eRGAPS 来满足这一需求。该工具将促进快速研究方案的开发和对主要数据集的重新分析，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。该仪器将在计算生物医学研究所 (ICB) 中进行安置、维护和技术管理，该研究所由该应用程序的 PI 指导，并将集成到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 的技术管理团队 (TechMT) 负责，该团队目前由五名专家组成的高技能员工组成，他们开发和维护先进的计算能力。拟议设备的科学和运营监督将由 PI 负责，并由管理和咨询委员会 (MAC) 提供支持，由他担任主席，该委员会由主要和次要 eRGAPS 用户以及具有适当经验的外部 COI 成员组成。该机构已为该仪器投入了大量资源，包括成本分摊，该仪器将成为基础和转化生物医学研究和信息共享的重要工具。