Acquisition of a high-throughput compute cluster for biological data analysis

获取用于生物数据分析的高通量计算集群

• 批准号: 8247532
• 负责人: Gregory J Hannon
• 金额: $ 51.98万
• 依托单位: COLD SPRING HARBOR LABORATORY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8247532
• 关键词: Address; Area; Base Sequence; Basic Science; Biological; Biology; Biomedical Research; Cancer Biology; Data Analyses; Data Set; Disease; Epigenetic Process; Genomics; Health; Human; Human Genetics; Image; Interdisciplinary Study; Laboratories; Laboratory Research; Memory; Neurosciences; Nucleic acid sequencing; Process; Proteomics; Research; Research Infrastructure; Research Institute; Sequence Analysis; cluster computing; computing resources; data acquisition; programs; relating to nervous system; scientific computing

DESCRIPTION (provided by applicant): Cold Spring Harbor Laboratory (CSHL) is a leading research institute that is engaged in a wide range of basic science studies focused on fundamental biomedical problems. These include leading programs in various aspects of cancer biology, neuroscience, human genetics, genomics and epigenetics. CSHL has also recently started a new multidisciplinary research program in quantitative biology in recognition of the need to integrate large data sets from such diverse areas as nucleic acid sequence analysis and neural imaging. All of these research areas are being transformed by large biological data sets resulting from recent dramatic increases in data acquisition rates including in nucleic acid sequencing, imaging, and proteomics. Further, every indication is that the rate of data acquisition will continue to increase exponentially for the next several years and beyond. Analyzing these large data sets, now a fundamental component of almost all areas of biomedical research is dependent on large-scale computational resources. The requested 54-node scientific compute cluster is essential for CSHL to capitalize on these large data sets and use them to understand basic processes impacting health and disease. Specifically, many of the computational analyses carried out by CSHL researches have significant memory requirements, but the current infrastructure at CSHL does not have adequate numbers of high memory nodes to perform these crucial analyses in a timely fashion, or in some cases, perform them at all. The requested cluster would be one component, dedicated to human biomedical research, in an overall plan to address this need.

描述（由申请人提供）：冷泉港实验室（CSHL）是一家领先的研究所，参与了广泛的基础科学研究，重点是基本生物医学问题。其中包括在癌症生物学，神经科学，人类遗传学，基因组学和表观遗传学各个方面的领先计划。 CSHL最近还开始了一项新的定量生物学多学科研究计划，以认识到需要从核酸序列分析和神经成像等不同领域整合大型数据集。所有这些研究领域都被大量的生物学数据集转化，这是由于最近的数据采集速率急剧提高，包括核酸测序，成像和蛋白质组学。此外，每个迹象都表明，在未来几年及以后的数据获取率将继续增加。分析这些大数据集，现在几乎所有生物医学研究领域的基本组成部分取决于大规模的计算资源。请求的54节点科学计算集群对于CSHL资本化这些大数据集并使用它们来了解影响健康和疾病的基本过程至关重要。具体而言，通过CSHL研究进行的许多计算分析都具有明显的内存要求，但是CSHL的当前基础架构没有足够数量的高记忆节点来及时执行这些关键分析，或者在某些情况下完全执行它们。所需的集群将是专门针对人类生物医学研究的组成部分，以解决这一需求。