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: 10152539
• 负责人: BRIAN DALLEY
• 金额: $ 59.09万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-05-09 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10152539
• 关键词: Address; Bioinformatics; Budgets; Cancer Biology; Cancer Center; Cancer Center Support Grant; Cells; Clinical; Clinical Research; Computer software; Consultations; Data; Data Analyses; Data Set; Diagnostics Research; Discipline; Doctor of Philosophy; Education; Enrollment; Ensure; Evaluation; Experimental Designs; Foundations; Funding; Generations; Genomic approach; Genomics; Grant; Human Resources; Individual; Infrastructure; Institutes; Instruction; Investigation; Investments; Libraries; Malignant Neoplasms; Manuscripts; Modernization; Molecular; Oncology; Patients; Peer Review; Play; Preparation; Privatization; Process; Protocols documentation; Publications; Research; Research Institute; Research Personnel; Research Support; Resource Sharing; Resources; Sampling; Science; Scientist; Services; Technology; Training; Translational Research; Universities; Utah; Work; algorithm development; anticancer research; cancer care; clinical care; clinical diagnostics; cost; cost effective; epigenetic profiling; experience; experimental study; improved; innovation; instrument; instrumentation; member; new technology; next generation sequencing; programs; recruit; synergism; tool; translational genomics

HIGH-THROUGHPUT GENOMICS AND BIOINFORMATIC ANALYSIS SHARED RESOURCE ABSTRACT The High-Throughput Genomics and Bioinformatic Analysis Shared Resource (GBA) is dedicated to supporting the genomic experimentation and bioinformatic analysis needs of Huntsman Cancer Institute (HCI). Established in 1997, GBA consists of two closely-aligned sections, the Genomics Section, led by Brian Dalley, PhD, and the Bioinformatic Analysis Section, led by David Nix, PhD. Both Sections provide teams of genomic professionals who guide Cancer Center members through the experimental and analytical processes, support diverse protocols enabling state-of-the-art research, and continuously review and incorporate novel technologies for the benefit of HCI’s Research Programs. GBA’s aims are: 1) to provide state-of-the-art genomic technologies, services, and expertise, and 2) to support the scientific research objectives of the Cancer Center by enabling access to cost-effective, sophisticated genomic approaches for high-impact research, including team science grants. Management of GBA within the Cancer Center ensures that the Resource is focused on addressing the genomic technology needs of Cancer Center members. Specifically, GBA performs three essential functions: 1) recruit and train highly experienced scientists, bioinformaticians, and genomic technicians to support Cancer Center members, 2) provide a diverse portfolio of experimental protocols and analysis workflows to enable the latest research in genomics, and 3) evaluate, implement, and optimize genomic sequencing and bioanalytic infrastructure for the benefit of researchers at HCI. Cancer Center members with peer-reviewed funding comprise 28% of GBA users. Users benefit from the exceptional quality of the Resource at a highly subsidized cost, enabled through Cancer Center Support Grant and HCI support. Since 2014, over 80 publications have included experiments supported by the Resource. In summary, GBA provides a full-service facility to Cancer Center members and University of Utah investigators for state-of-the-art genomics research that spans the spectrum from experimental design, data generation, and in-depth integrated analysis to publication-quality figures and tables. The GS offers evaluation of sample quality, construction and qualification of Illumina sequencing libraries, and Illumina sequencing. The BAS conducts data analysis services that include processing raw data to primary results using well-developed analytic protocols for all of the major classes of next-generation sequencing applications. GBA also plays a key role in HCI’s translational genomics groups, which bring together investigators and clinicians who work with aggregated patient-derived datasets to improve clinical care. These comprehensive services enable investigators from diverse disciplines to use these powerful tools to inform their research.

高通量基因组学与生物信息学分析 共享资源 摘要 高通量基因组和生物信息分析共享资源(GBA)致力于支持 亨斯迈癌症研究所的基因组实验和生物信息学分析需求。 GBA成立于1997年，由两个紧密结合的部门组成，基因组学部门由布莱恩·达利领导， 和生物信息学分析科，由David Nix博士领导。这两个部分都提供了基因组团队 指导癌症中心成员完成实验和分析过程的专业人员，支持 多样化的协议，支持最先进的研究，并持续审查和整合新的 惠及人机界面研究计划的技术。GBA的目标是：1)提供最先进的 基因组技术、服务和专业知识，以及2)支持国家科学研究目标 癌症中心通过使用经济高效、复杂的基因组方法来实现高影响力 研究，包括团队科学补助金。癌症中心内的GBA管理确保 资源的重点是解决癌症中心成员的基因组技术需求。 具体地说，GBA履行三项基本职能：1)招聘和培训经验丰富的科学家， 生物信息学家和基因组技术人员支持癌症中心成员，2)提供多样化的产品组合 实验方案和分析工作流程，以支持基因组学的最新研究，以及3)评估， 实施并优化基因组测序和生物分析基础设施，以造福于 人机界面。拥有同行评审资助的癌症中心成员占GBA用户的28%。用户受益于 通过癌症中心支持赠款，以高度补贴的成本提供卓越的资源质量 和人机界面支持。自2014年以来，已有80多份出版物收录了由该资源支持的实验。 总之，GBA为癌症中心成员和犹他大学提供了全方位的服务设施 研究人员进行最先进的基因组研究，从实验设计、数据到数据 生成，并对出版物质量的数字和表格进行深入综合分析。GS提供评估 Illumina测序文库的样品质量、构建和鉴定，以及Illumina测序。这个 BAS提供数据分析服务，包括将原始数据处理为使用开发良好的 适用于所有主要类别的下一代测序应用程序的分析协议。GBA也扮演着关键角色 在HCI的翻译基因组学小组中扮演的角色，该小组将研究人员和临床医生聚集在一起， 汇总患者派生的数据集，以改善临床护理。这些全面的服务使 来自不同学科的研究人员使用这些强大的工具来为他们的研究提供信息。