DATA COMPILATION

数据汇编和生物信息学共享资源(DCBSR)将提供服务、指导、培训和曝光(通过研讨会、网站等)。向癌症中心的研究人员提供大容量数据存储和检索以及基因组、计算生物学和路径/结构分析方面的最新技术。DCBSR的设计目的是将原始数据汇编共享资源扩展到生物信息学和计算生物学研究和服务，这些研究和服务在历史上没有被其他核心覆盖，但有很大的需求。此外，DCBSR将为计算和信息学服务和研究提供基础设施，由加州大学圣地亚哥分校独有的两个资源提供，并已与癌症中心建立了更大的合作关系：圣地亚哥超级计算机中心(SDSC；www.sdsc.edu)和加州电信和信息技术研究所(CAL-IT2；作为癌症中心支持拨款(CCSG)的一部分，与DCBSR相关的专业知识和活动将与与生物统计学共享资源和行为测量共享资源以及微阵列共享资源、DNA测序共享资源和数字成像共享资源相关的专业知识和活动相互补充和协同。DCBSR将提供的具体服务包括： 1.为调查人员提供现代信息学和生物信息学支持的基础设施 2.DNA序列操作和分析，包括多态评估 3.多态分析和单倍型分析 4.蛋白质结构与计算分析 5.生化网络及通径分析 6.大规模数据归档和历史信息检索 7.大规模研究和临床数据库的设计和建设 8.提供对最新数据捕获设备和技术的访问和监督 9.开发和实施对HIPAA敏感的病历查询和数据收集方法

The Data Compilation and Bioinformatics Shared Resource (DCBSR) will provide service, guidance, training, and exposure (via workshops, website, etc.) to Cancer Center researchers in state-of-the-field large-capacity data storage and retrieval as well as genomic, computational biology, and pathway/structural analyses. The DCBSR has been designed to extend the original Data Compilation Shared Resource into bioinformatics and computational biology research and services not historically covered by other cores, but for which there is great demand. In addition, the DCBSR will build off infrastructure for computational and informatics services and research provided by two resources unique to UCSD and for which greater collaborative ties with the Cancer Center have been formed: the San Diego Supercomputer Center (SDSC; www.sdsc.edu) and the California Institute of Telecommunications and Information Technology (Cal-IT2; www.calit2.net).The expertise and activities associated with the DCBSR as part of the Cancer Center Support Grant (CCSG) will compliment and synergize with those associated with the Biostatistics Shared Resource and the Behavior Measurement Shared Resource as well as, among others, the Microarray Shared Resource, the DNA Sequencing Shared Resource, and the Digital Imaging Shared Resource. The specific services to be provided by the DCBSR will include: 1. Infrastructure for modern informatics and bioinformatics support to investigators 2. DNA sequence manipulation and analysis, including polymorphism assessment 3. Polymorphism analysis and haplotyping 4. Protein structure and computational analysis 5. Biochemical network and pathway analysis 6. Large-scale data archiving and historical information retrieval 7. Large-scale research and clinical database design and construction 8. Provide access and oversight to state-of-the-field data capture devices and technologies 9. Develop and implement HIPAA-sensitive methods for medical record queries and data collection