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（由申请人提供）：提出了开源蛋白质组学数据库和计算分析系统的新型分发平台。所提出的平台将在研究生物学机制和复杂蛋白质系统的测量研究中实现机构间合作。安装是开源软件采用的初始障碍，有时甚至是无法克服的障碍，尤其是对于CPA等最先进的数据库系统。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，从而增加开源生物信息学工具的采用率，并大大降低开源生物信息学工具（如CPA）的总拥有成本。虚拟集群技术还为迄今为止妨碍了蛋白质组学协作的安全性，可扩展性和易用性问题提供新的解决方案。该建议的系统以蛋白质组学和软件开发专家的成功合作为基础，并标志着虚拟群集技术在蛋白质组学中的首次使用之一。公共卫生相关性：这项研究的目的是启用一种新的蛋白质组学技术，既可以降低蛋白质组学实验的成本，又可以降低研究机构之间合作的障碍。成功的结果将增加广泛的当前和未来研究的潜在健康益处。