Scalable Secure Sharable Computation Platform for Proteomics Data Analysis

用于蛋白质组学数据分析的可扩展安全可共享计算平台

• 批准号: 7433587
• 负责人: ERIK J NILSSON
• 金额: $ 18.86万
• 依托单位: INSILICOS
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-05-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7433587
• 关键词: Address; Adoption; Affect; Arts; Attention; Bioinformatics; Biological; Biological Markers; Biomedical Research; Collaborations; Complex; Computer Analysis; Computer software; Computers; Data; Data Analyses; Data Set; Databases; Development; Effectiveness; Elements; Environment; Farming environment; Future; Health Benefit; Hour; Institution; Intention; Laboratories; Mainstreaming; Maintenance; Mass Spectrum Analysis; Measurement; Measures; Outcome; Ownership; Performance; Proteins; Proteomics; Public Health; Rate; Research; Research Activity; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Retrieval; Sampling; Secure; Security; Solutions; System; Techniques; Technology; Testing; Time; Work; comparative; computerized tools; cost; data management; insight; novel; open source; repaired; research study; scientific computing; software development; tool; virtual

DESCRIPTION (provided by applicant): A novel distribution platform for an open source proteomic database and computational analysis system is proposed. The proposed platform will enable inter-institutional collaboration in the study of biological mechanisms and measurement of complex protein systems. Installation is an initial and sometimes insurmountable barrier to open source software adoption, especially for state of the art database systems such as CPAS. We propose to create a hosted CPAS server platform to eliminate installation and maintenance issues for both software and hardware, thus increasing the open source bioinformatics tools adoption rate and drastically reducing total cost of ownership for open source bioinformatics tools like CPAS. Virtual cluster technology also offers new solutions to the security, scalability, and ease of use problems that have hampered proteomics collaborations to date. This proposed system builds on a successful collaboration of experts in proteomics and software development, and marks the one of the first major use of virtual cluster technology in proteomics. PUBLIC HEALTH RELEVANCE: The aim of this research is to enable a new proteomics technology that will both lower the cost of proteomics experiments and lower the barriers to collaboration between research institutions. A successful outcome would increase the potential health benefit of a broad array of current and future research.

描述(申请人提供)：提出了一种用于开放源码蛋白质组数据库和计算分析系统的新型分发平台。拟议的平台将使在生物机制研究和复杂蛋白质系统测量方面的机构间合作成为可能。安装是采用开放源码软件的初始障碍，有时甚至是不可逾越的障碍，尤其是对于CPA等最先进的数据库系统而言。我们建议创建一个托管的CPAS服务器平台，以消除软件和硬件的安装和维护问题，从而提高开源生物信息工具的采用率，并大幅降低CPAS等开源生物信息工具的总拥有成本。虚拟集群技术还为迄今阻碍蛋白质组学合作的安全性、可扩展性和易用性问题提供了新的解决方案。该系统建立在蛋白质组学和软件开发专家的成功合作基础上，标志着虚拟集群技术在蛋白质组学中的首批重大应用之一。公共卫生相关性：这项研究的目的是实现一种新的蛋白质组学技术，既能降低蛋白质组学实验的成本，又能降低研究机构之间的合作障碍。一个成功的结果将增加当前和未来一系列广泛研究的潜在健康益处。