DATA COMPILATION

数据汇编和生物信息学共享资源（DCBSR）将为癌症中心的研究人员提供服务、指导、培训和曝光（通过研讨会、网站等方式），包括大容量数据存储和检索以及基因组学、计算生物学和途径/结构分析。DCBSR的目的是将原有的数据汇编共享资源扩展到生物信息学和计算生物学的研究和服务中，这些研究和服务在历史上没有被其他核心覆盖，但需求很大。此外，DCBSR将为计算和信息学服务和研究建立基础设施，这些服务和研究由加州大学圣地亚哥分校独有的两个资源提供，并与癌症中心形成了更大的合作关系：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；作为癌症中心支持基金（CCSG）的一部分，与DCBSR相关的专业知识和活动将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等相关的专业知识和活动形成互补和协同作用。该机构将提供的具体服务包括：

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