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.

定量科学共享资源（QSSR） 从癌症中心开始，定量科学共享资源就一直是 支持并增加癌症中心的价值。今天也是如此，尽管需要和 解决方案已经发展。目前，作为Dan L邓肯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。原标题：Biostatistics and Informatics Shared 资源（BISR）最初是作为2006年第一个CCSG应用程序的一部分而建立的。响应于改变 需要，我们已经重新命名了SR，并重组了服务和协作支持，以专注于生物统计学， 生物信息学和高性能计算（HPC）集群形式的计算基础设施。 共享资源的具体目标包括： 目标1.为临床、翻译和基础研究提供最先进的设计、实施、分析和解释。 通过生物统计学、生物信息学和多组学方法进行癌症相关的科学研究; 目标2.提供高质量、专业管理的高性能计算; 目标3.与其他高吞吐量导向的共享资源协调分析和数据 管理需要; 目标4。协助DLDCCC开展教育和培训、科学审查、数据监测和战略 规划 QSSR是癌症中心的关键资源。在过去的四年里，我们几乎为每一个 癌症中心奋进的方面-从基础到临床研究，协调数据流， 其他共享资源、科学审查和教育。尽管已经过渡到管理层， 宽矩阵SR，我们继续有一个非常高的癌症重点。我们在领导层有很好的代表性 在癌症中心的一级，QSSR领导人在许多委员会任职，包括执行委员会。 以马克思我们有能力就战略举措的量化方面向DLDCCC提供建议， 对新的或不断变化的优先事项作出反应。在上一个融资期间，我们继续战略性增长， 教师，工作人员和重组服务，根据我们的初步和后续提出的计划， 申请，并根据监督和咨询委员会的建议，以及癌症中心的领导。未来计划 包括招聘更多的教职员工，促进对高性能计算的更好的访问， 以及通过改进的数据管理来协助高通量技术导向的共享资源， 分析管道。