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个实验室和核心合作都是必不可少的组成部分 对于有效地进行翻译神经科学研究是必要的。然而，华盛顿大学 神经科学界目前缺乏对数据共享和协作基础设施的有效访问， 用于集成和分析大型生物医学数据集的工具，以及提供统计数据的资源 专业知识。因此，为了促进翻译神经科学和促进 华盛顿大学翻译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支配性和综合性的 信息学基础设施。因此，这个核心的第一个目标是建立一个中心Web资源，用于 有关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Web门户，用于核心访问信息，设施 以及设备描述、实验协议、资源调度和成本分担。第二 这个核心的目的是实现一个基于Web的数据录入和网络文件存储系统，以促进安全 各核心部门和调查人员之间的部门间协作，从而使数据得以迅速传播 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。初始开发将利用现有的 已经为华盛顿大学阿尔文·J·西特曼癌症中心和 国家癌症研究所，但神经学家无法获得。此核心的第四个目标是提供 为遗传研究和大型分子数据集的分析提供统计支持，协助研究人员 动物行为实验的实验计划和功率分析，并提供合格的访问途径 神经科学研究人员的生物统计学咨询。

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.