Biostatistics Training for Basic Biomedical Research

描述（由申请人提供）：人类基因组测序为生物学的下一个主要前沿——蛋白质组学奠定了基础，为生物医学研究的新“组学”时代铺平了道路。爆炸式的数据级联需要集成用于数据表示和操作的生物信息学工具，以及用于验证、分析、建模以及最终统一和解释无数“组学”数据以推断生物功能的复杂统计和数学方法。南卡罗来纳医科大学（MUSC）的生物统计学基础生物医学研究培训（BTBBR）博士预科课程培养生物统计学家和生物信息学家在新一代基础生物医学研究中担任关键角色。BTBBR计划将严格的生物统计理论和方法培训与生物信息学相结合，以解决现代多学科生物学研究的定量前沿问题。加强学科主题的交流，促进合作和团队指导，丰富学生的研究机会，提高定量科学和生物科学界面的博士前培训的效率和效果。这一更新申请将整合MUSC的两个博士前培训项目，这两个项目目前与BTBBR共享教师和互补重点（神经科学的生物信息学和生物统计应用）。BTBBR计划利用一个已建立的，成功的学院范围内的计划，提供一个共同的基础科学课程，为进入研究生提供基础生物医学科学的结构化，广泛的教学和实验室培训；建立生物统计学课程，强调生物知识和生物统计学原理的整合；建立生物信息学项目，在基础科学系配备教师；以及生物统计学和基础生物医学研究人员之间的良好合作氛围。BTBBR计划侧重于五个生物医学研究领域的生物医学科学培训部分，其中MUSC具有全国公认的优势：蛋白质组学和生物标志物，细胞信号，脂质组学，神经生物学，生物成像和生物工程。相关性（见说明）：这项博士前研究培训计划将培养下一代生物医学研究人员，他们将成为定量、计算和系统科学方法方面的专家，以便加快将实验室中发现的知识转化为新的筛查、诊断和治疗工具的步伐，这些工具可以个性化地改善癌症、糖尿病、心脏病、阿尔茨海默氏症和帕金森病等重大疾病患者的健康状况。

DESCRIPTION (provided by applicant): The sequencing of the human genome has set the stage for the next major frontier in biology, the proteome, paving the way for the new "omics" era in biomedical research. The exploding cascade of 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 "omics" data to infer biological function. The Biostatistics Training for Basic Biomedical Research (BTBBR) predoctoral program at the Medical University of South Carolina (MUSC) trains biostatisticians and bioinformaticians to assume key roles in this new generation of basic biomedical research. The BTBBR program integrates rigorous training in biostatistical theory and methods with bioinformatics to address quantitative frontiers in modern multi-disciplinary biological research. To enhance cross-fertilization of disciplinary themes, facilitate collaboration and team mentoring, enrich research opportunities for the students, and improve efficiency and effectiveness of predoctoral training at the interface of the quantitative and biological sciences, this renewal application will Integrate two predoctoral training programs at MUSC that that currently share faculty and complementary foci (in bioinformatics and biostatistical applications for the neurosciences) with the BTBBR. The BTBBR program capitalizes on an established, successful college- wide program offering a common basic science curriculum that provides structured, broad-based didactic and laboratory training in the basic biomedical sciences for entering graduate students; an established biostatistics program that emphasizes integration of biological knowledge and biostatistical principles; an established bioinformatics program with faculty embedded in basic science departments; and a robust atmosphere of collaboration among biostatistical and basic biomedical science researchers. The BTBBR program focuses the biomedical science training component in five biomedical research areas in which MUSC has nationally recognized strengths: proteomics and biomarkers, cell signaling, lipidomics, neurobiology, and biolmaging and bioengineering. RELEVANCE (See instructions): This predoctoral research training program will prepare the next generation of biomedical investigators who will be experts in quantitative, computational and systems science approaches in order to accelerate the pace of translating knowledge discovered in the laboratory into new screening, diagnostic and treatment tools that can be individualized to improve the health of people dealing with major diseases such as cancer, diabetes, heart disease, Alzheimer's and Parkinson's disease.