Nation Center- Integrative Biomedical Informatics(RMI)

随着研究人员的努力，信息集成正迅速成为生物医学科学的严重瓶颈 复杂的疾病过程和快速增长的数据量。密歇根大学将 建立国家综合生物医学信息学中心(NCIBI)以迎接这一挑战，从而 推进复杂的、具有临床意义的生物分子系统的研究。该中心将发展 在托管软件和数据基础架构中提出问题的计算体系结构 对当今海量数据集的便捷操作和分析。该架构利用了可扩展的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全面来源跟踪，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，一个集成的建模 并将创建假设检验资源，利用公共数据库，高通量实验 数据、文献资源。生物知识环境、改进的本体和先进的工具 将开发用于信息检索的数据库，以便与该综合知识库一起使用。这些环境 将能够对复杂和动态的生物医学系统进行分析和建模，并且随着时间的推移将允许 在多个组织级别上集成生物医学和行为数据。NCIBI将展示 并通过四个针对I型和II型糖尿病、前列腺癌的推动生物项目来挑战这些技术 癌症和双相情感障碍的遗传学。我们将促进社区接入、协作活动，以及 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，利用 信息资源。该中心的本质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。知识分子 Droperty和数据共享委员会将制定和修改数据和软件传播和使用政策。 NCIBI执行委员会将审查和招募新的驾驶生物项目(DBP)。《中心》 将由合作伙伴和一名专业的项目经理监督。

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.