Biostatistics Training for Basic Biomedical Research

基础生物医学研究的生物统计学培训

• 批准号: 7886099
• 负责人: Elizabeth H. Slate
• 金额: $ 7.44万
• 依托单位: MEDICAL UNIVERSITY OF SOUTH CAROLINA
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7886099
• 关键词: Biomedical Research; Biometry; Training

The sequencing of the human genome has set the stage for the next major frontier in biology, the proteome, and has paved the way for the new "omics" era in biomedical reseach. The exploding cascadeof data requires integration of bioinformatics tools for data representation and manipulation and sophisticated statistical and mathematical approaches for validating, analyzing, modeling and, finally, unifying and interpreting the myriad of "omic" data to infer biological function. The aim of the Biostatistics Training for Basic Biomedical Research (BTBBR) program, proposed by the Department of Biostatistics, Bioinformatics, and Epidemiology at the Medical University of South Carolina (MUSC), is to train a new generation of biostatisticians who have substantial didactic and hands-on experience in the basic biomedical sciences so that they are prepared to assume key roles in this new generation of basic biomedical research. The BTBBR program stresses the integration of biostatistical theory and methods, including nonlinear systems analysis and mathematical modeling, with tools from bioinformatics to address quantitative frontiers in modern multi-disciplinary biological research. The program will capitalize on an established and successful college-wide program.offering a common basic science curriculum that providesstructured, broad-based didactic and laboratory training in the.basic biomedical sciences at an entry level; an established biostatistics program that emphasizes integration of biological knowledge and biostatistical principles; and an atmosphere of acknowledged need for biostatistical input among basic biomedical science researchers in four focus areas in which MUSC has nationally recognized strength: proteomics, lidipomics, signaling, and neurobiology.

人类基因组的测序为生物学的下一个主要前沿--蛋白质组学奠定了基础， 并为生物医学研究的新“组学”时代铺平了道路。The explosive爆炸cascade级联of data数据 需要集成生物信息学工具进行数据表示和操作， 统计和数学方法，用于验证，分析，建模，最后，统一和 解释无数的“组学”数据来推断生物功能。生物统计培训的目的是 基础生物医学研究（BTBBR）计划，由生物统计学系提出， 南卡罗来纳州医科大学的生物信息学和流行病学研究所正在培养一种新的 培养一代在基础生物医学领域具有丰富教学和实践经验的生物统计学家 科学，使他们准备承担在这新一代的基础生物医学研究的关键作用。 BTBBR计划强调生物统计理论和方法的整合，包括非线性 系统分析和数学建模，利用生物信息学工具解决定量前沿问题 在现代多学科生物学研究中。该计划将利用一个既定的， 成功的大学范围内的计划。提供一个共同的基础科学课程， 基础广泛的初级生物医学科学教学和实验室培训; 建立了生物统计学计划，强调生物学知识和生物统计学的整合 原则;以及在基础生物医学科学中公认需要生物统计投入的氛围 研究人员在四个重点领域，其中MUSC具有全国公认的实力：蛋白质组学，脂肪组学， 信号和神经生物学。