Acquisition of a Scalable Storage Cluster for Data Intensive NIH Research

为数据密集型 NIH 研究购买可扩展存储集群

• 批准号: 8640738
• 负责人: Thomas Girke
• 金额: $ 59.28万
• 依托单位: UNIVERSITY OF CALIFORNIA RIVERSIDE
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2016-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8640738
• 关键词: Big Data; Bioinformatics; Biology; Biomedical Research; California; Commit; Communicable Diseases; Computer Simulation; Data; Data Set; Data Storage and Retrieval; Degenerative Disorder; Economics; Environmental Health; Ethnic Origin; Funding; Genome; Genomics; Growth; Health; Housing; Human; Institutes; Investments; Microscopy; Mission; Neurosciences; Output; Process; Proteomics; Research; Research Infrastructure; Research Personnel; Resources; Scientist; Site; System; Technology; Time; United States National Institutes of Health; Work; Wound Healing; anticancer research; base; cost effective; driving force; high throughput technology; medical schools; next generation sequencing

DESCRIPTION: Scientists at UC Riverside work on a wide spectrum of research topics critical to human health including neuroscience, cancer research, environmental health, wound healing, degenerative and infectious diseases. Modern large-scale genomics and computational modeling approaches are routinely applied in this research, such as next generation sequencing (NGS) and numerous other high- throughput technologies. Because these technologies output extremely large data sets, disk-based data storage required to process these "Big Data" efficiently has become a major bottleneck to support the computational needs of NIH-funded biomedical research. UC Riverside's research compute infrastructure is provided by a central bioinformatics facility located in the Institute for Integrative Genome Biology (IIGB), which houses three additional technology cores (Genomics, Microscopy and Proteomics). However, due to the very high demand, the existing storage systems of the bioinformatics facility are operating at maximum capacity impacting its ability to support data intensive biomedical research. This data overflow results often in delays of processing new research data sets in a time- efficient manner, thus slowing down the discovery process of many projects. The objective of this application is to resolve this shortage of data storage resources by requesting funds for the acquisition of a highly scalable disk storage system dedicated to provide long-term support for data intensive NIH research at UC Riverside. Because our disk storage needs (currently ~150TB) increase by a factor of nearly two every year, a storage system with 750GB is required to support our current storage growth rates for the next three years. Funding for growth well beyond year three will be provided by a well- established recharging system. IIGB's bioinformatics facility operates across departments and is committed to serve a broad user base. Thus, the funding for the requested storage system will be a highly cost-effective investment and it will reach a maximum number of NIH investigators at UC Riverside. Moreover, it will benefit a rapidly growing number of new biomedical researchers moving to UC Riverside, as it will be the site of the first new medical school in California in decades. Combined with UC Riverside's diverse ethnicity and research mission, this investment will benefit a wide array of biomedical research directions at a campus that is a major economic driving force in the Inland Empire region of California.

产品说明：加州大学滨江分校的科学家们从事对人类健康至关重要的广泛研究课题，包括神经科学、癌症研究、环境健康、伤口愈合、退行性疾病和传染病。现代大规模基因组学和计算建模方法通常应用于该研究中，例如下一代测序（NGS）和许多其他高通量技术。由于这些技术输出的数据集非常大，因此有效处理这些“大数据”所需的基于磁盘的数据存储已成为支持NIH资助的生物医学研究的计算需求的主要瓶颈。UC滨江的研究计算基础设施由位于综合基因组生物学研究所（IIGB）的中央生物信息学设施提供，该研究所拥有三个额外的技术核心（基因组学，显微镜和蛋白质组学）。然而，由于需求非常高，生物信息学设施的现有存储系统正在以最大容量运行，影响了其支持数据密集型生物医学研究的能力。这种数据溢出通常导致以时间有效的方式处理新的研究数据集的延迟，从而减缓了许多项目的发现过程。本申请的目的是通过申请资金购买一个高度可扩展的磁盘存储系统来解决数据存储资源的短缺问题，该系统专门为加州大学滨江分校的数据密集型NIH研究提供长期支持。由于我们的磁盘存储需求（目前约为150 TB）每年以近两倍的速度增长，因此需要一个750 GB的存储系统来支持我们未来三年的当前存储增长率。第三年以后的增长资金将由一个完善的补充系统提供。IIGB的生物信息学设施跨部门运作，致力于为广泛的用户群服务。因此，所要求的存储系统的资金将是一项极具成本效益的投资，它将达到加州大学滨江的最大数量的NIH研究人员。此外，它将有利于越来越多的新的生物医学研究人员搬到加州大学滨江，因为它将是第一个新的医学院在加州在几十年的网站。结合加州大学滨江的多元种族和研究使命，这项投资将有利于在校园，是在加州内陆帝国地区的主要经济驱动力的生物医学研究方向广泛。

项目成果

Insight into the Recent Genome Duplication of the Halophilic Yeast Hortaea werneckii: Combining an Improved Genome with Gene Expression and Chromatin Structure.

• DOI: 10.1534/g3.117.040691
• 发表时间: 2017-07-05
• 期刊: G3 (Bethesda, Md.)
• 作者: Sinha S;Flibotte S;Neira M;Formby S;Plemenitaš A;Cimerman NG;Lenassi M;Gostinčar C;Stajich JE;Nislow C
• 通讯作者: Nislow C

Mathematical modeling of chemotaxis guided amoeboid cell swimming

趋化引导变形细胞游泳的数学模型

• DOI: 10.1088/1478-3975/abf7d8
• 发表时间: 2021
• 期刊: Physical Biology
• 影响因子: 2
• 作者: Wang, Qixuan;Wu, Hao
• 通讯作者: Wu, Hao

Gene Expression and Silencing Studies in Phytophthora infestans Reveal Infection-Specific Nutrient Transporters and a Role for the Nitrate Reductase Pathway in Plant Pathogenesis.

• DOI: 10.1371/journal.ppat.1006097
• 发表时间: 2016-12
• 期刊: PLoS pathogens
• 影响因子: 6.7
• 作者: Abrahamian M;Ah-Fong AM;Davis C;Andreeva K;Judelson HS
• 通讯作者: Judelson HS

Fungal Genomes and Insights into the Evolution of the Kingdom.

• DOI: 10.1128/microbiolspec.funk-0055-2016
• 发表时间: 2017-07
• 期刊: Microbiology spectrum
• 影响因子: 3.7
• 作者: Stajich JE

mRNA-miRNA-Seq Reveals Neuro-Cardio Mechanisms of Crude Oil Toxicity in Red Drum ( Sciaenops ocellatus).

• DOI: 10.1021/acs.est.9b00150
• 发表时间: 2019-02
• 期刊: Environmental science & technology
• 影响因子: 11.4
• 作者: E. G. Xu;A. J. Khursigara;Shuying Li;A. Esbaugh;S. Dasgupta;D. Volz;D. Schlenk