CRI: Infrastructure for Managing and Analyzing Large Scale Biological Data via Utility Computing

CRI：通过效用计算管理和分析大规模生物数据的基础设施

• 批准号: 0551603
• 负责人: Jiong Yang
• 金额: $ 31.31万
• 依托单位: Case Western Reserve University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0551603&HistoricalAwards=false
• 关键词: CRI; Infrastructure; Managing; Analyzing; Large

AbstractProgram: NSF 04-588 CISE Computing Research InfrastructureTitle: CRI: Infrastructure for Managing and Analyzing Large Scale Biological Data via Utility ComputingProposal: CNS 0551603PI: Yang, JiongInstitution: Case Western Reserve University Investigators at Case Western Reserve University will develop computing infrastructure to enable research in five bio-informatics application areas that have challenges in computing, data management and communications. Data intensive application projects include studies of biochemical pathways at multiple levels and searching and data mining in PubMed literature. Computation intensive applications include correlation discovery in two problem areas genetic variation in human populations and circadian rhythms. The communication intensive application is surgical planning simulators. The investigators will develop a utility computing infrastructure and explore computer science research issues such as load balancing, scalability, and multicast based data dissemination.

摘要项目：NSF 04-588 CISE 计算研究基础设施标题：CRI：通过效用计算管理和分析大规模生物数据的基础设施提案：CNS 0551603PI：Yang，Jiong 机构：凯斯西储大学 凯斯西储大学的研究人员将开发计算基础设施以支持研究在计算、数据管理和通信方面面临挑战的五个生物信息学应用领域。数据密集型应用项目包括多层次生化途径的研究以及PubMed文献中的搜索和数据挖掘。计算密集型应用包括人类群体遗传变异和昼夜节律两个问题领域的相关性发现。通信密集型应用程序是手术计划模拟器。研究人员将开发实用计算基础设施，并探索计算机科学研究问题，例如负载平衡、可扩展性和基于多播的数据传播。