Washington University Center for Translational Neuroscience

华盛顿大学转化神经科学中心

• 批准号: 7321063
• 负责人: RAKESH NAGARAJAN
• 金额: $ 23.01万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-25 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7321063
• 关键词: informatics; university

Significant contributions from multiple disciplines such as biostatistics, computer science, clinical medicine, and basic bench science as well as multi-laboratory and core collaborations are all essential components necessary to perform translational neuroscience research effectively. However, the Washington University neuroscience community presently lacks efficient access to infrastructure for data sharing and collaboration, tools for integration and analysis of large biomedical data sets, and resources that provide statistical expertise. Therefore, to facilitate translational neuroscience and promote scientific collaboration among the Cores and neuroscience users of the Washington University Center for Translational Neuroscience (WUCTN), the Informatics and Data Integration Core will establish an overarching and comprehensive informatics infrastructure. Thus, the first aim of this core is to establish a central web resource for information about WU translational neuroscience activities, faculty, and resources. Namely, for each neuroscience Core facility, we will create a comprehensive web portal for Core access information, facility and equipment description, experimental protocols, resource scheduling, and cost sharing. The second aim of this core is to implement a web-based data entry and network file storage system to promote secure inter-departmental collaborations among Cores and investigators, thus allowing rapid dissemination of data and resources. The third aim of this core is to develop informatics tools to facilitate curation, query, analysis, and visualization of complex data sets across Cores. Initial development will leverage existing informatics software already developed for the Washington University Alvin J. Siteman Cancer Center and the National Cancer Institute, but not available to neuroscientists. The fourth aim of this core is to provide statistical support for genetic studies and analysis of large molecular data sets, assist investigators in experimental planning and power analysis for animal behavior experiments, and provide access to qualified biostatistical consultation for neuroscience investigators.

生物统计学、计算机科学、临床医学等多个学科的重大贡献 基础实验室科学以及多实验室和核心合作都是重要组成部分 有效进行转化神经科学研究所必需的。然而，华盛顿大学 神经科学界目前缺乏有效的数据共享和协作基础设施， 用于集成和分析大型生物医学数据集的工具以及提供统计的资源 专业知识。因此，为了促进转化神经科学并促进科学合作 华盛顿大学转化神经科学中心的核心和神经科学用户 （WUCTN），信息学和数据集成核心将建立一个总体和全面的 信息学基础设施。因此，该核心的首要目标是建立一个中央网络资源 有关西弗吉尼亚大学转化神经科学活动、师资和资源的信息。也就是说，对于每个 神经科学核心设施，我们将创建一个综合门户网站，用于核心访问信息、设施 以及设备描述、实验协议、资源调度和成本分摊。第二个 该核心的目标是实施基于网络的数据输入和网络文件存储系统，以促进安全 核心和研究人员之间的跨部门合作，从而实现数据的快速传播 和资源。该核心的第三个目标是开发信息学工具以促进管理、查询、 跨核心的复杂数据集的分析和可视化。初步开发将利用现有 已为华盛顿大学 Alvin J. Siteman 癌症中心开发的信息学软件以及 国家癌症研究所，但神经科学家无法获得。该核心的第四个目标是提供 为遗传研究和大分子数据集分析提供统计支持，协助研究人员 动物行为实验的实验规划和功效分析，并提供合格的 为神经科学研究人员提供生物统计咨询。