Washington University Center for Translational Neuroscience

来自多个学科的重大贡献，如生物统计学，计算机科学，临床医学， 基础实验室科学以及多实验室和核心合作都是重要的组成部分 有效地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对数据共享和协作的基础设施的有效访问， 用于整合和分析大型生物医学数据集的工具，以及提供统计数据的资源 专业知识因此，为了促进转化神经科学和促进科学家之间的合作， 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全面的 信息基础设施。因此，该核心的第一个目标是建立一个中央网络资源， 关于吴翻译神经科学活动，教师和资源的信息。也就是说，对于每个 神经科学核心设施，我们将创建一个全面的网络门户网站的核心访问信息，设施 设备描述、实验方案、资源调度和费用分摊。第二 该核心的目的是实现一个基于Web的数据输入和网络文件存储系统，以促进安全 核心小组和调查人员之间的部门间合作，从而能够迅速传播数据 和资源该核心的第三个目标是开发信息学工具，以促进策展，查询， 跨核心的复杂数据集的分析和可视化。初期开发将利用现有的 已经为华盛顿大学Alvin J. Siteman癌症中心开发的信息学软件， 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 为遗传学研究和大型分子数据集分析提供统计支持，协助研究人员 为动物行为学实验提供实验规划和功效分析，并提供合格的 为神经科学研究者提供生物统计咨询。

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.