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: 8447107
• 负责人: Hemant K. Tiwari
• 金额: $ 5.25万
• 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 2014-05-07
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8447107
• 关键词: Alabama; Applications Grants; Bioinformatics; Biotechnology; Characteristics; Clinical; Communities; Complex; Complex Genetic Trait; Consultations; Data; Data Analyses; Development; Disease; Education; Educational process of instructing; Evaluation; Faculty; Fees; Funding; Genetic; Genomics; Glean; Human; Institutes; Instruction; Laboratories; Language; Lead; Learning; Location; Methods; Modification; Molecular; Participant; Postdoctoral Fellow; Request for Proposals; Research; Research Personnel; Resources; Selection Criteria; Sequence Analysis; Series; Staging; Statistical Methods; Students; Susceptibility Gene; Technology; Training; Universities; Work; career; disability; education evaluation; experience; graduate student; lectures; meetings; next generation sequencing; programs; public health relevance; responsible research conduct; trait; web site

DESCRIPTION (provided by applicant): Major efforts are under way 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. In that turn that will require sophisticated statistical analysis in order to 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. To expedite and significantly advance the search for specific genes that predispose to these complex traits, 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 course will provide substantial expertise both in technologies for next- generation sequencing and in statistical methods pertaining to these technologies that will effectively increase the number and the expertise of investigators who are pursuing genetic and genomic research. This is a unique course containing instruction in both technological and statistical aspects of next-generation sequencing. There is currently no course of this type offered in US. We expect approximately 50 students to attend each course, allowing for intensive interaction between students and faculty. Lectures will be supplemented with extensive discussion sessions, handouts, and presentation of worked examples.

描述（由申请人提供）：目前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。反过来，这将需要复杂的统计分析，以便最大限度地从每项研究中收集到信息。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。为了加快并显着推进对易产生这些复杂性状的特定基因的搜索，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，这将使包括临床研究人员在内的更多研究人员能够参与参与、贡献并领导此类研究。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 天的课程将提供下一代测序技术和与这些技术相关的统计方法方面的丰富专业知识，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和统计方面的指导。目前美国没有提供此类课程。我们预计每门课程大约有 50 名学生参加，以便学生和教师之间进行密切互动。讲座将辅以广泛的讨论、讲义和工作示例的演示。