Quantitative Science Shared Resource

定量科学共享资源

• 批准号: 10439819
• 负责人: SUSAN G. HILSENBECK
• 金额: $ 23.33万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10439819
• 关键词: Advisory Committees; Applications Grants; Area; Back; Basic Science; Bioinformatics; Biometry; Cancer Burden; Cancer Center; Cancer Center Support Grant; Cancer Science; Charge; Clinical; Clinical Research; Clinical Sciences; Collaborations; Community Outreach; Comprehensive Cancer Center; Computer software; Data; Education; Education and Outreach; Experimental Designs; Faculty; Funding; Future; High Performance Computing; Human Resources; Information Technology; Infrastructure; Journals; Leadership; Licensing; Malignant Neoplasms; Medicine; Methods; Mission; Monitor; Patient Care; Peer Review; Peer Review Grants; Play; Positioning Attribute; Prevention; Publications; Research; Research Support; Resource Sharing; Resources; Role; Science; Services; Source; Strategic Planning; Students; Technology; Training and Education; Translational Research; bioinformatics infrastructure; biomedical informatics; cancer therapy; cluster computing; college; computer infrastructure; data analysis pipeline; data management; design; high throughput technology; improved; informatics shared resource; innovation; member; multiple omics; recruit; response; virtual

PROJECT SUMMARY: Quantitative Science Shared Resource (QSSR) Quantitative science shared resources have been, from the beginning of cancer centers, a centerpiece of the support that underpins and adds value to a cancer center. The same holds true today, although needs and solutions have evolved. At present, as a matrix Shared Resource (SR) within the Dan L Duncan Cancer Center and the Advanced Technology Cores of Baylor College of Medicine, the Quantitative Science Shared Resource (QSSR) continues to play a critical role. The Resource, originally titled Biostatistics and Informatics Shared Resource (BISR), was initially established as part of the first CCSG application in 2006. In response to changing needs, we have renamed the SR and restructured services and collaborative support to focus on biostatistics, bioinformatics, and computational infrastructure in the form of our High Performance Compute (HPC) cluster. Specific Aims of the Shared Resource include: Aim 1. To provide state-of-the-art design, conduct, analysis, and interpretation to clinical, translational, and basic science cancer-related research through biostatistical, bioinformatic, and multi-omic methods; Aim 2. To provide access to high quality, professionally managed high performance computing; Aim 3. To coordinate with other high-throughput oriented Shared Resources on their analytic and data management needs; Aim 4. To assist the DLDCCC with education and training, scientific review, data monitoring, and strategic planning. The QSSR is a critical resource to the Cancer Center. During the last 4 years we contributed to virtually every aspect of Cancer Center endeavor – ranging from basic through clinical research, coordination of data flows with other shared resources, scientific review, and education. Despite having transitioned to management as a BCM- wide matrix SR, we continue to have a very high level of cancer focus. We are well represented at the leadership level of the Cancer Center, where QSSR leaders serve on a number of committees, including the Executive Committee. We are well-positioned to advise the DLDCCC on quantitative aspects of strategic initiatives and to respond to new or changing priorities. During the last funding period, we continued to grow strategically, adding faculty, staff and restructuring services, according to the plans put forward in our initial and subsequent applications, and on advice of oversight and advisory committees, and Cancer Center leadership. Future plans include additional faculty and staff recruitment, promoting enhanced access to High Performance Computing, and assisting high-throughput technology-oriented shared-resources with improved data management and analysis pipelines.

项目摘要：定量科学共享资源（QSSR） 从癌症中心开始，定量科学共享资源一直是 支持支撑并增加癌症中心的价值。尽管需要和 解决方案已经发展。目前，作为Dan L Duncan癌症中心内的矩阵共享资源（SR） 和贝勒医学院的先进技术核心，定量科学共享资源 （QSSR）继续发挥关键作用。该资源最初称为生物统计学和信息学共享 资源（BISR）最初是2006年第一个CCSG应用程序的一部分。 需求，我们重命名了SR，并恢复服务和协作支持，以专注于生物统计学， 我们的高性能计算（HPC）群集的形式的生物信息学和计算基础架构。 共享资源的具体目的包括： 目的1。向临床，翻译和基础提供最新的设计，进行，分析和解释 通过生物统计学，生物信息学和多词方法与科学癌症相关的研究； 目标2。提供高质量，专业管理的高性能计算的访问权限； 目标3。在其分析和数据上与其他面向高通量的共享资源进行协调 管理需求； 目标4。为DLDCCC协助教育和培训，科学审查，数据监控和战略 规划。 QSSR是癌症中心的关键资源。在过去的四年中，我们几乎为每个 癌症中心努力的各个方面 - 从基本研究到临床研究，数据流与 其他共享资源，科学审查和教育。尽管已经过渡到管理层为BCM- 广泛的矩阵SR，我们继续以很高的癌症焦点。我们在领导领导中表现得很好 癌症中心的水平，QSSR领导者在许多委员会中任职，包括高管 委员会。我们有充分的位置向DLDCCC提供有关战略计划的定量方面的建议，并 回应新的或不断变化的优先事项。在最后一个资金期间，我们继续战略性增长，并补充 根据我们最初和随后的计划提出的计划 申请以及监督和咨询委员会的建议以及癌症中心领导。未来计划 包括其他教职员工招聘，促进加强对高性能计算的访问 并通过改进的数据管理和 分析管道。