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），以应对这一挑战，从而推进复杂的，临床上重要的生物分子系统的研究。该中心将在一个管理软件和数据基础设施内开发提出问题的计算架构，这将允许轻松操纵和分析当今的大量数据集。该体系结构利用了可伸缩和灵活的软件技术，并使组件重用和重组。该中心的知识环境实现了信息的完整出处跟踪，从而使用户能够“深入”到主要来源数据，并适当地引用数据提供者。有了这个基础设施，将创建一个综合的建模和假设检验资源，利用公共数据库，高通量的实验数据和文献资源。将开发生物知识环境、改进的本体论和先进的信息检索工具，以便与这一综合知识库一起使用。这些环境将使复杂和动态的生物医学系统的分析和建模成为可能，并将允许在多个组织级别上集成生物医学和行为数据。NCIBI将通过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项目来展示和挑战这些技术。我们将促进社区访问，合作活动和中心的数据共享，并免费传播用于生物分子数据分析的工具和基于网络的服务。NCIBI将利用综合信息资源建立创新的教育和培训计划。该中心的内在要素是一个安全的计算基础设施，以支持其活动。将建立管理和维持中心的行政结构。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项目（DBP）。该中心将由共同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.