Bioinformatics

生物信息学

• 批准号: 9904502
• 负责人: Samuel Volchenboum
• 金额: $ 27.71万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9904502
• 关键词: Applications Grants; Attention; Bioinformatics; Biological; Biological Sciences; Biology; Biomedical Research; Biostatistical Methods; Biostatistics Core; Budgets; Cancer Center Support Grant; Caring; Chicago; Clinical; Complex; Comprehensive Cancer Center; Computer Security; Consultations; Core Facility; Cost Analysis; Data; Data Analyses; Data Security; Development; Doctor of Philosophy; Ensure; Environment; Experimental Designs; Faculty; Genetic; Genomics; Grant; Health Insurance Portability and Accountability Act; High Performance Computing; Informatics; Journals; Letters; Life Cycle Stages; Medicine; Methodology; Performance; Process; Proteomics; Publications; Regulation; Research; Research Personnel; Resources; Role; Scientist; Security; Services; Specific qualifier value; Time; Training and Education; Universities; Work; advanced analytics; analytical tool; anticancer research; base; cluster computing; computerized data processing; computing resources; cost effectiveness; data access; data acquisition; data integrity; data visualization; design; experience; high throughput technology; improved; member; success; tool

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.

抽象的 将高通量原始数据转化为具有生物学意义的信息的分析过程可以 作为该中心的一部分，给临床、转化和基础研究人员带来了重要的挑战。 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) 提供旨在实现生物科学的服务和专业知识 部门（BSD）的研究人员充分利用当前的高通量技术进行核心工作。 与 UCCCC 生物统计核心设施 (BCF) 和基因组学核心设施 (GCF) 密切合作 核心的主要目标是： 1) 通过以下方式提供专家分析服务。 开发和应用生物信息学策略来分析复杂的基因组学、蛋白质组学和 2）提供生物信息学方面的咨询、培训和教育； 方法；3) 提供资助申请支持，包括充分开发生物信息学 赠款的组成部分、成本分析、支持信以及记录工具和专业知识的可用性 完成所示的研究。 BiCF 结合了强大的计算资源、先进的分析工具以及对 The Core 使用 CRI 的高安全性将大量原始数据转换为有意义的结果。 高性能计算集群和大规模存储资源，可进行复杂的分析 在并行或分布式环境中执行以产生快速的数据处理速率，从而改进应用程序 BiCF 目前已成为 UCCCC 开发核心设施。 资助期；基于 UCCCC 成员的大力使用以及生物信息学在癌症中的重要作用 研究中，BiCF 被提议作为本次竞争性更新应用中的完整 CCSG 核心。