Short Course on Next-Generation Sequencing: Technology and Statistical Methods

下一代测序短期课程：技术和统计方法

• 批准号: 8667078
• 负责人: Hemant K. Tiwari
• 金额: $ 5.4万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-27 至 2017-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8667078
• 关键词: Academic Medical Centers; Alabama; Bioinformatics; Biotechnology; Characteristics; Clinical; Communities; Complex; Complex Genetic Trait; Computers; Data; Data Analyses; Data Set; Development; Disease; Drug Industry; Education; Educational process of instructing; Evaluation; Face; Faculty; Familiarity; Fees; Funding; Genes; Genetic; Genomics; Glean; Human; Institutes; Instruction; Internet; Laboratories; Language; Lead; Learning; Location; Methodology; Methods; Modification; Molecular; Participant; Postdoctoral Fellow; Public Health; Request for Proposals; Research; Research Personnel; Resources; Selection Criteria; Sequence Analysis; Series; Staging; Statistical Methods; Students; Technology; Training; Universities; Work; career; disability; education evaluation; experience; graduate student; interest; lectures; meetings; new technology; next generation sequencing; programs; public health relevance; responsible research conduct; tool; trait; web site

DESCRIPTION (provided by applicant): This is a request for a three-year continuation of support for short courses on Next Generation Sequencing Technology and Statistical Methods, first launched in 2011 at the University of Alabama at Birmingham (UAB). Major efforts are underway to uncover the specific genetic components of many complex human disorders and quantitative traits. These efforts include rapidly evolving technologies for next-generation sequencing that will generate an unprecedented wealth of data. As genomic datasets take on greater dimensionality, biomedical researchers require increasingly sophisticated statistical analyses that maximize the information gleaned from each study. Likewise, many advances have been made in statistical methods for the study of complex genetic traits, and new statistical methods continue to be promulgated. We recognize a need to integrate the division of labor between clinical researchers and biostatisticians, and we aim to meet this need by equipping new investigators with the tools necessary to conduct research at the cutting edge of technology and methodology. To expedite and significantly advance the search for specific genes of interest, we propose a series of annual short courses on next-generation sequencing technologies and statistical genomics which will enable a far greater number of researchers, including clinical researchers, to participate in, contribute to, and lead such research. These short courses will help equip students, post- doctoral fellows, junior investigators and senior investigators to expedite genomic discovery. The courses will be taught by leading experts in next-generation sequencing and statistical genetics/genomics. Each 4-day courses will provide substantial familiarity with new technologies for next-generation sequencing, bioinformatics, and in statistical methods pertaining to these technologies and "hands-on" computer training that will effectively increase the number and the expertise of investigators who are pursuing genetic and genomic research. This is a unique course containing instructions in technology, bioinformatics, and statistical methods for next-generation sequencing. We expect approximately 50 students to attend each course, allowing for intensive interaction between participants and faculty. Lectures will be supplemented with extensive discussion sessions, hands-on computing, handouts, and presentation of worked examples.

描述（由申请人提供）：这是对下一代测序技术和统计方法短期课程的持续三年支持的请求，该课程于 2011 年首次在伯明翰阿拉巴马大学 (UAB) 推出。人们正在努力揭示许多复杂的人类疾病和数量性状的特定遗传成分。这些努力包括快速发展的下一代测序技术，这将产生前所未有的丰富数据。随着基因组数据集的维度越来越大，生物医学研究人员需要越来越复杂的统计分析，以最大限度地利用每项研究收集的信息。同样，用于研究复杂遗传性状的统计方法也取得了许多进展，并且新的统计方法不断颁布。我们认识到需要整合临床研究人员和生物统计学家之间的分工，我们的目标是通过为新研究人员配备在尖端技术和方法论上进行研究所需的工具来满足这一需求。为了加快并显着推进对特定感兴趣基因的搜索，我们提出了一系列关于下一代测序技术和统计基因组学的年度短期课程，这将使更多的研究人员，包括临床研究人员，能够参与、贡献和领导此类研究。这些短期课程将帮助学生、博士后研究员、初级研究人员和高级研究人员加快基因组发现。这些课程将由下一代测序和统计遗传学/基因组学领域的领先专家教授。每个为期 4 天的课程将让学生充分熟悉下一代测序、生物信息学和与这些技术相关的统计方法的新技术，以及“实践”计算机培训，这将有效增加从事遗传和基因组研究的研究人员的数量和专业知识。这是一门独特的课程，包含下一代测序技术、生物信息学和统计方法的说明。我们预计每门课程大约有 50 名学生参加，以便参与者和教师之间进行密切互动。讲座将辅以广泛的讨论、动手计算、讲义和工作示例演示。