High-Throughput Genomics and Bioinformatic Analysis (GBA)

高通量基因组学和生物信息学分析 (GBA)

• 批准号: 9935228
• 负责人: BRIAN DALLEY
• 金额: $ 0.36万
• 依托单位: UNIVERSITY OF UTAH
• 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/9935228
• 关键词: Abbreviations; Advisory Committees; Applications Grants; Back; Basic Science; Bioinformatics; Biostatistics Shared Resource; Budgets; Cancer Center; Cancer Center Support Grant; Charge; Clinical; Core Facility; Coupled; Data Analyses; Doctor of Philosophy; Educational process of instructing; Effectiveness; Ensure; Faculty; Fee-for-Service Plans; Floor; Funding; Genomic approach; Genomics; Grant; Health system; High-Throughput Nucleotide Sequencing; Human Resources; Imagery; Infrastructure; Institutes; Location; Malignant Neoplasms; Modeling; Modernization; Pathology; Peer Review; Policies; Population Sciences; Price; Procedures; Protocols documentation; Publications; Published Comment; RNA library; Research; Research Personnel; Resource Sharing; Resources; Running; Sampling; Scientist; Service delivery model; Services; Small RNA; Surveys; Universities; Utah; Work; Writing; acronyms; anticancer research; cancer statistics; computer infrastructure; cost; data warehouse; exome; genomic data; informatics shared resource; innovation; instrumentation; medical schools; meetings; member; programs; web site; wiki

HIGH-THROUGHPUT GENOMICS AND BIOINFORMATIC ANALYSIS SHARED RESOURCE ABSTRACT The High-Throughput Genomics and Bioinformatic Analysis (GBA) Shared Resource provides state-of-the-art genomics instrumentation and capabilities, along with professional bioinformatics expertise, at an affordable and subsidized cost to Cancer Center members and all University of Utah (U of U) faculty. Huntsman Cancer Institute (HCI) established this campus-wide shared resource in 1997 and is responsible for its management and the array of services provided. The GBA Shared Resource has two sections that work in coordination: Genomics, established in 2000, and Bioinformatics, established in 2005. The two sections of the GBA Shared Resource are located proximally on the third floor of the Jon M. Huntsman Cancer Research Building, a location easily accessible to all Cancer Center members and other campus users. The Genomics section (5 FTEs) has expert personnel who offer state-of-the-art high-throughput sequencing (Illumina HiSeq2500) coupled to front-end procedures (e.g. exome capture/release, bisulphite treatment, small RNAs library constructions), as well as microarray services. The Bioinformatics section (5 FTEs) has expert personnel who provide a wide range of cutting-edge genomics data analysis services and visualization platforms, manage the underlying computational infrastructure, and help coordinate genomics efforts throughout the Cancer Center. The GBA Shared Resource hosts a detailed website/wiki that provides a full description of services, recommended protocols, technical advice, tutorials, queue, and pricing. The GBA Shared Resource collaborates closely with the Research Informatics (RI) Shared Resource, which writes infrastructure programs of key importance to the GBA, including a sophisticated genomics LIMS (GNomEx) and sample tracking suite (itBioPath). The GBA Shared Resource and users are also advised in statistics by the Cancer Biostatistics Shared Resource. The GBA Shared Resource is overseen by a Faculty Advisory Committee, which guides priorities and services, and responds to user comments and annual surveys. The Resource provides genomics services in a fee-for-service model involving one-tier pricing and an open transparent queue. This model ensures optimal coordination of HCI-managed Shared Resources with those managed by other U of U entities, which also share these policies. Operational effectiveness is enhanced by a monthly roundtable meeting led by the GBA Directors and the HCI Senior Director of Basic Science, which is also attended by RI Shared Resource members. The GBA Shared Resource has a major impact on our Center, as shown by the wide array of HCI users and the large number of publications and grants that acknowledge the Resource. In 2013, GBA use by HCI members with peer-reviewed funding exceeded 42%, while the CCSG budget request is only 6% ($134,280) of the total proposed budget.

高通量基因组学和生物信息分析共享资源 抽象的 高通量基因组学和生物信息学分析 (GBA) 共享资源提供最先进的技术 基因组学仪器和功能，以及专业的生物信息学专业知识，价格实惠 并为癌症中心成员和所有犹他大学 (U of U) 教职人员提供费用补贴。亨斯迈癌症 研究所（HCI）于1997年建立了这个全校范围的共享资源并负责其管理 以及提供的一系列服务。 GBA 共享资源有两个协调工作的部分： 基因组学成立于2000年，生物信息学成立于2005年。大湾区的两个部门共享 资源位于 Jon M. Huntsman 癌症研究大楼三楼附近，该大楼是 所有癌症中心成员和其他校园用户均可轻松访问该位置。基因组学部分 (5 FTE）拥有提供最先进的高通量测序（Illumina HiSeq2500）的专家人员 与前端程序耦合（例如外显子组捕获/释放、亚硫酸氢盐处理、小 RNA 文库 结构），以及微阵列服务。生物信息学部门（5 个 FTE）拥有专家人员，他们 提供广泛的尖端基因组学数据分析服务和可视化平台，管理 底层计算基础设施，并帮助协调整个癌症中心的基因组学工作。 GBA 共享资源托管一个详细的网站/wiki，提供服务的完整描述， 推荐的协议、技术建议、教程、队列和定价。 GBA 共享资源与研究信息学 (RI) 共享资源密切合作， 编写对大湾区至关重要的基础设施项目，包括复杂的基因组学 LIMS (GNomEx) 和样本跟踪套件 (itBioPath)。还建议 GBA 共享资源和用户 癌症生物统计共享资源的统计数据。 GBA 共享资源由学院负责监督 咨询委员会，指导优先事项和服务，并回应用户意见和年度报告 调查。该资源以按服务付费的模式提供基因组学服务，涉及一级定价和 打开透明队列。该模型确保 HCI 管理的共享资源与 由其他U of U实体管理的，这些实体也共享这些政策。运营效率是 由 GBA 董事和 HCI 基础高级总监主持的每月圆桌会议进一步加强了 Science，RI 共享资源成员也参加。 GBA 共享资源有一个主要 对我们中心的影响，正如广泛的 HCI 用户和大量的出版物和文章所表明的那样 承认资源的赠款。 2013 年，HCI 成员在同行评审资金下使用 GBA 超过 42%，而 CCSG 预算请求仅占拟议预算总额的 6%（134,280 美元）。