Bioinformatics

摘要 将高通量原始数据转换为生物学上有意义的信息的分析过程可以 对临床、转化和基础研究人员都提出了重要的挑战。作为中心的一部分， 研究信息学（CRI），芝加哥大学医学综合癌症中心（UCCCC） 生物信息学核心设施（BiCF）提供旨在使生物科学 部门（BSD）的调查人员充分利用目前的高通量技术。核心工程 与UCCCC生物统计学核心设施（BCF）和基因组学核心设施（GCF）密切合作， 范围和数据流。核心的主要目标是：1）提供专家分析服务， 开发和应用生物信息学策略，用于分析复杂的基因组学、蛋白质组学和 遗传学数据; 2）为教师提供生物信息学方面的咨询，培训和教育 方法;以及3）提供资助申请支持，包括充分发展生物信息学 补助金的组成部分、成本分析、支持信以及记录工具和专业知识的可用性 来完成所指出的研究。 BiCF结合了强大的计算资源，先进的分析工具，并致力于 安全性将大量原始数据转换为有意义的结果。核心使用CRI的高- 高性能计算群集和大规模存储资源，利用这些资源， 在并行或分布式环境中执行，以产生快速的数据处理速率，改善应用程序 性能和成本效益。BiCF是UCCCC当前发展中的核心设施。 资助期;基于UCCCC成员的强大使用和生物信息学在癌症中的重要作用 研究，BiCF被提议作为一个完整的CCSG核心在这个竞争性的更新应用。

ABSTRACT The analysis process that transforms high-throughput raw data into biologically meaningful information can present important challenges to clinical, translational, and basic researchers alike. As part of the Center for Research Informatics (CRI), the University of Chicago Medicine Comprehensive Cancer Center (UCCCC) Bioinformatics Core Facility (BiCF) offers services and expertise designed to enable Biological Sciences Division (BSD) investigators to take full advantage of current high-throughput technologies. The Core works closely with the UCCCC Biostatistics Core Facility (BCF) and the Genomics Core Facility (GCF) to coordinate scope and data flows. The major objectives of the Core are: 1) To provide expert analysis services by developing and applying bioinformatics strategies for the analysis of complex genomics, proteomics and genetics data; 2) To provide consultation, training and education to faculty regarding bioinformatics approaches; and 3) To provide grant application support, including fully developing the bioinformatics components of a grant, cost analysis, letters of support, and documenting the availability of tools and expertise to complete the research indicated. The BiCF combines the use of powerful computing resources, advanced analytics tools, and a commitment to security to transform large amounts of raw data into meaningful results. The Core uses the CRI’s high- performance computing cluster and large-scale storage resources, with which complex analytics can be executed in parallel or distributed environments to produce fast data processing rates, improving application performance and cost effectiveness. The BiCF has been a UCCCC Developing Core Facility during the current grant period; based on its robust usage by UCCCC members and the essential role of bioinformatics in cancer research, the BiCF is proposed as a full CCSG Core in this competing renewal application.