STATISTICAL COMPUTING CORE

研究计算以及超大型数据库的链接、管理和存储现在是一种 癌症研究的重要组成部分。用于癌症研究的高维数据分析已经变得高度 跨学科和接触专门领域(例如信息学、统计方案编制、计算 生物学。地理信息系统、系统管理和数据库管理)是 最重要的是。虽然计算和存储的价格一直在稳步下降，但高度 大型数据集的专业研究、计算专业知识和管理已经增加，并将 有增无损。此外，研究数据安全的大量需求要求 集中式基础设施，可提供对安全数据集的访问，同时 计算能力。统计计算核心(SCC)的总体目的是确保所有 项目调查人员可以访问链接并安全存储的数据集和尖端统计数据 为三个拟议的研究项目提供计算支持。具体目标是：1)提供访问 最先进的研究、计算专门知识和基础设施(目标1)；2)开发全面的数据 方案项目的管理结构(目标2)；3)提供获得专门知识的途径，例如 地理信息系统、生物信息学和统计方案编制(目标3)；以及4)支持和向 研究社区并维护计划项目网站(目标4)。

Research computing and the linkage, management, and storage of very large databases, are now an essential part of cancer research. Analysis of high dimensional data for cancer research has become highly interdisciplinary and the access to specialized fields (e.g. informatics, statistical programming, computational biology. Geographic Information Systems, system administration, and data base management) is of paramount importance. While the price of computation and storage has steadily decreased, the cost of highly specialized research computing expertise and administration of large data sets has increased and will continue to increase. In addition, the large number of requirements for research data security calls for a centralized infrastructure that can provide access to secure data sets and, at the same time, enormous computational power. The overall purpose of the Statistical Computing Core (SCC) is to ensure that all Program investigators have access to linked and securely stored datasets and cutting edge statistical computing support for the three proposed research projects. The specific aims are: 1) Provide access to state of the art research computing expertise and infrastructure (Aim 1); 2) Develop a comprehensive data management structure for the Program Project (Aim 2); 3) Provide access to specialized expertise such as GIS, bioinformatics; and statistical programming (Aim 3); and 4) Support and disseminate software to the research community and maintain the Program Project website (Aim 4).