Nation Center- Integrative Biomedical Informatics(RMI)

信息集成正迅速成为生物医学科学的一个严重瓶颈， 复杂的疾病过程和快速增加的数据量。密歇根大学将 建立国家综合生物医学信息学中心（NCIBI），以应对这一挑战， 推进复杂的、临床上重要的生物分子系统的研究。该中心将发展 在管理软件和数据基础设施中提出问题的计算体系结构， 对当今海量数据集的轻松操作和分析。此体系结构利用了可扩展的anc 灵活的软件技术，支持组件重用和重组。中心的知识 环境实现了对信息的完整出处跟踪，从而使用户能够“向下钻取”， 主要来源数据，并适当引用数据提供者。有了这个基础设施， 和假设测试资源将被创建，利用公共数据库，高通量实验 数据和文献资源。生物知识环境、改进的本体论和先进的工具 将开发用于信息检索的工具，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，并及时将允许 生物医学和行为数据在多个组织层次上的整合。NCIBI将展示 并通过四个生物学项目挑战这些技术，这些项目涉及I型和II型糖尿病、前列腺 癌症和双相情感障碍的遗传学。我们将促进社区访问，合作活动， 中心的数据共享，并免费传播生物分子数据的工具和基于网络的服务 分析. NCIBI将建立创新的教育和培训计划， 信息资源该中心的本质将是一个安全的计算基础设施，以支持其 活动将建立管理和维持中心的行政结构。知识 Droperty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）。中心 将由合作伙伴和专业项目经理监督。

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 wil 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 anc 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 nformation 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 Droperty 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.