Informatics Center for Neurogenetics and Neurogenomics

这是一项关于NINDS机构核心、神经遗传学和信息学中心的建议 加州大学洛杉矶分校的神经基因组学(ICNN)。与生物医学的其他领域一样，后基因组时代提高了 神经科学研究中变革性进展的展望。神经科学面临着特殊的挑战， 然而，在分析、解释和管理产生的海量信息 通过基因和基因组技术。神经系统的表型和组织复杂性 需要不同的分析和信息学战略和专门知识。ICNN将提供高级分析 以及对由加州大学洛杉矶分校的神经科学家组成的高度互动的用户群体的信息学支持，他们是 进行基础、临床和转化性研究。这些调查人员可以使用一流的设施 遗传学和基因组学实验；在分析和信息学方面缺乏相应的资源 构成了他们研究的瓶颈。ICNN教授统计遗传学、基因表达方面的专家 分析和生物信息学将监督训练有素的工作人员的活动，他们将完成 三个目标：1)为神经遗传学和神经基因组学项目提供专家咨询和分析； 2)开发和维护共享计算资源，该资源将包括用于 计算密集型分析、Web服务器和最先进的软件工具，适用于各种 应用程序(包括公共数据库的用户友好版本以及ICNN所在的工作站 将培训用户使用这些工具；3)提供分析和信息学方面的实践培训 用户。

This is a proposal for an NINDS Institutional Center Core, the Informatics Center for Neurogenetics and Neurogenomics (ICNN) at UCLA. As with other areas of biomedical science, the post-genome era raises the prospect of transformational advances in neuroscience research. Neuroscience faces special challenges, however, in analysis, interpretation, and management of the vast quantities of information generated by genetic and genomic technologies. The phenotypic and organizational complexity of the nervous system calls for distinct analytical and informatics strategies and expertise. The ICNN will provide advanced analysis and informatics support to a highly interactive user group consisting of neuroscientists at UCLA, who are conducting basic, clinical, and translational research. These investigators have access to excellent facilities for genetics and genomics experimentation; the lack of corresponding resources in analysis and informatics constitutes a bottleneck in their research. ICNN faculty experts in statistical genetics, gene expression analysis, and bioinformatics will oversee the activities of highly-trained staff members who will accomplish three goals: 1) Providing expert consultation and analyses for neurogenetics and neurogenomics projects; 2) Developing and maintaining a shared computing resource that will include a computational cluster for computation-intensive analyses, web-servers and state of the art software tools for a wide range of applications (including user-friendly versions of public databases, as well as workstations on which ICNN users will be trained to employ these tools; 3) Providing hands-on training in analysis and informatics to the users.