National Center for Integrative Biomedical Informatics(RMI)

描述（由申请人提供）：随着研究人员努力应对复杂的疾病过程和快速增加的数据量，信息集成正迅速成为生物医学科学的一个严重瓶颈。密歇根大学将建立一个国家综合生物医学信息学中心（NCIBI）来应对这一挑战，从而推进复杂的、具有临床意义的生物分子系统的研究。该中心将在管理软件和数据基础设施中开发问题提出的计算架构，以方便地操作和分析当今的大量数据集。该体系结构利用可伸缩和灵活的软件技术，支持组件重用和重新组织。该中心的知识环境实现了对信息的完整来源跟踪，从而使用户能够“深入”到主要源数据并适当地引用数据提供者。有了这个基础设施，一个综合的建模和假设检验资源将被创建，利用公共数据库、高通量实验数据和文献资源。将开发生物知识环境、改进的本体和先进的信息检索工具来使用这个集成知识库。这些环境将使复杂和动态生物医学系统的分析和建模成为可能，并最终将允许在多个组织层面整合生物医学和行为数据。NCIBI将通过在I型和II型糖尿病、前列腺癌和双相情感障碍遗传学方面的四个驱动生物学项目来展示和挑战这些技术。我们将促进中心的社区访问、协作活动和数据共享，并自由传播用于生物分子数据分析的工具和基于网络的服务。利用综合信息资源，建立创新教育和培训项目。该中心的本质将是一个安全的计算基础设施，以支持其活动。将建立行政结构来管理和维持该中心。知识产权和数据共享委员会将制定和修改数据和软件的传播和使用政策。NCIBI执行委员会将审查和招募新的驱动生物学项目（dbp）。该中心将由合作项目负责人和一名专业项目经理监督。

DESCRIPTION (provided by applicant): Information integration is rapidly becoming a severe bottleneck in biomedical science as researchers grapple with complex disease processes and rapidly increasing data volumes. The University of Michigan will establish a National Center for Integrative Biomedical Informatics (NCIBI) to meet this challenge and thereby advance the study of complex, clinically significant biomolecular systems. The Center will develop problem-posing computational architecture within a managed software and data infrastructure that will permit the facile manipulation and analysis of today's massive data sets. This architecture exploits scalable and flexible software technology and enables component reuse and re-organization. The Center's knowledge environment implements full provenance tracking for information, and thus enables users to 'drill-down' to primary source data and to appropriately cite data providers. With this infrastructure, an integrative modeling and hypothesis-testing resource will be created, drawing on public databases, high-throughput experimental data, and literature resources. Biological knowledge environments, improved ontologies and advanced tools for information retrieval will be developed to use with this integrated knowledge base. These environments will enable the analysis and modeling of complex and dynamic biomedical systems, and in time will allow the integration of biomedical and behavioral data at multiple levels of organization. The NCIBI will demonstrate and challenge these technologies with four driving biological projects in Type I and Type II diabetes, prostate cancer and the genetics of bipolar disorders. We will facilitate community access, collaborative activities, and data sharing in the Center, and freely disseminate tools and web-based services for biomolecular data analysis. The NCIBI will establish innovative education and training programs leveraging the integrated information resource. Intrinsic to the Center will be a secure computational infrastructure to support its activities. Administrative structures will be established to manage and sustain the Center. An Intellectual Property and Data Sharing Committee will set and modify data and software dissemination and use policies. The NCIBI Executive Committee will review and recruit new Driving Biological Projects (DBPs). The Center will be overseen by the Co-PIs and a professional project manager.