Heterogeneous Proteomics Data Analysis and Management

描述(由申请人提供)： 提出了用于蛋白质组学数据统计分析和比较的软件工具。使用这些工具，可以使用不同的实验技术、分析仪器、肽搜索引擎和数据库来比较来自不同研究小组的数据。 蛋白质组学可以带来人类健康方面的突破，但由于无法直接比较和整合不同实验的结果，进展受到阻碍。建议的解决方案是一套软件工具，允许以统计有效的方式比较多肽鉴定，并允许研究小组之间轻松交换数据。 研究团队包括肽搜索、蛋白质组学数据库、多维色谱分析和科学计算方面的领先专家。该小组开发了一套广泛的蛋白质组学软件，这构成了这项研究的基础。合作使团队能够访问前沿蛋白质组学实验的数据。 将主要以系统生物学研究所开发的蛋白质组学工具为基础，与联盟伙伴合作，开发一个异质蛋白质组学数据分析和管理系统。我们将扩展这些工具，以支持更多的设备和软件系统，开发一个综合框架，并开发培训材料和文档。 该系统将适用于一系列蛋白质组学分析实验，加速采用新的蛋白质组学分析技术。

DESCRIPTION (provided by applicant): Software tools for statistical analysis arid comparison of proteomics data is proposed. Using these tools, data can be compared from different research groups using different experimental techniques, analytical instrumentation, peptide search engines, and databases. Proteomics can produce human health breakthroughs, but progress is hampered by the inability to directly compare and integrate results from different experiments. The proposed solution is a set of software tools permitting peptide identifications to be compared in a statistically-valid way, and permitting data to be readily exchanged between research groups. The research team includes leading experts in peptide search, proteomics databases, analysis of multidimensional chromatography, and scientific computing. The group has developed an extensive suite of proteomics software, which forms the foundation for this research. Collaborations give the team access to data from leading-edge proteomics experiments. Working with consortium partners, a heterogeneous proteomics data analysis and management system will be developed, base primarily on proteomics tools developed at the Institute for Systems Biology. We will extend the tools to support additional equipment and software systems, develop an integrated framework, and develop training materials and documentation. This system will be applicable to a range of proteomics analysis experiments, accelerating the adoption of new proteomics analysis techniques.