Bioinformatics Core

生物信息学核心

• 批准号: 8072432
• 负责人: Bernard A Rosner
• 金额: $ 23.05万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-28 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8072432
• 关键词: Basic Science; Bioinformatics; Cancer Center; Clinical Medicine; Data Collection; Data Set; Development; Ensure; Epidemiology; Grant; Individual; Lead; Leadership; Measurement; Measures; Methodology; Methods; Obesity; Obesity associated cancer; Phenotype; Pilot Projects; Research; Research Activity; Research Personnel; Statistical Methods; System; T-Cell Receptor-Rearrangement Excision DNA Circles; Training Activity; Work; data sharing; improved; meetings; member; multilevel analysis; novel; programs; sound

Core Summary: The Bioinformatics Core aims to provide statistical expertise and programming support via a transdisciplinary approach during the implementation of projects 1 to 4, as well as during TREC pilot studies. The specific aims are: 1). To provide statistical and methodological support to the Harvard TREC Center, and develop new methods of answering research questions raised by the Center; 2). To interface epidemiology, basic sciences, and clinical medicine, and ensure that sound statistical methods are incorporated into all research and training activities at the TREC Center; 3). To manage and maintain large data sets appropriate for use in secondary epidemiologic analyses regarding obesity and energetic issues, and for developing and refining measures of obesity and cancer-related phenotypes; and 4). To ensure timely sharing of data and their submission for centralized data collection at the Coordinating Center. Under the leadership of Dr. Bernard Rosner, Core members will meet monthly to review statistical and measurement issues across the projects. Members will participate in the annual retreat with presentations on state-of-the-art statistical methodology systems and multilevel analysis. Individual statisticians will meet regularly with the research teams they support and with the lead investigators of each developmental project. The Bioinformatics team has worked closely with all Project Leaders in developing the statistical methods and power calculations described in the proposals. The Core will actively participate in transdisciplinary research as an integral part ofthe TREC Center and will develop new methods (or apply existing methods in novel ways across projects), with a particular focus of working with pilot study recipients and new investigators.

核心总结： 生物信息学核心旨在在项目 1 至 4 的实施期间以及 TREC 试点研究期间通过跨学科方法提供统计专业知识和编程支持。具体目标是：1）．为哈佛TREC中心提供统计和方法论支持，并开发回答该中心提出的研究问题的新方法； 2）。将流行病学、基础科学和临床医学结合起来，并确保将合理的统计方法纳入 TREC 中心的所有研究和培训活动中； 3）。管理和维护适合用于有关肥胖和精力问题的二级流行病学分析的大型数据集，以及用于制定和完善肥胖和癌症相关表型的测量方法；和 4)。确保及时共享数据并提交给协调中心集中收集数据。在 Bernard Rosner 博士的领导下，核心成员每月举行一次会议，审查整个项目的统计和衡量问题。成员将参加年度务虚会，并发表有关最先进统计方法系统和多层次分析的演讲。个别统计学家将定期与他们支持的研究团队以及每个发展项目的主要研究人员会面。生物信息学团队与所有项目负责人密切合作，开发提案中描述的统计方法和功效计算。核心将作为 TREC 中心的组成部分积极参与跨学科研究，并将开发新方法（或在项目中以新颖的方式应用现有方法），特别注重与试点研究接受者和新研究者合作。