Training Grant in Genomic Analysis and Interpretation

基因组分析和解释培训补助金

• 批准号: 8149770
• 负责人: Kenneth L Lange
• 金额: $ 30.82万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8149770
• 关键词: Genomics; Grant; Training

DESCRIPTION (provided by applicant): Turning the data collected by the recent quantum leap in DNA sequencing technology into useful biomedical knowledge is one of the greatest scientific challenges of the 21st Century. The enormous volume of DNA data now collected cannot be accessed, manipulated, or analyzed without computers. However, the greatest bottlenecks involve software rather than hardware. In spite of current levels of sophistication, we still lack adequate theory and algorithms to perform many fundamental tasks in molecular genetics and genetic epidemiology with speed and precision. It will take a new generation of scientists trained in both the biological and mathematical sciences to push forward our nation's genomic agenda. Few universities have the infrastructure and human resources to mount a genomic analysis training program of the scope possible at UCLA. Our training program's core curriculum includes work in molecular biology, human genetics, probability and statistics, bioinformatics, and biomedical ethics. Students must also prepare for and attend pertinent weekly scientific seminars. The trainees collectively meet on a monthly basis with the program faculty and directors to learn about career matters not covered in regular coursework. Each year we will train 12 predoctoral students drawn preferentially from students in the first half of their doctoral programs. Each trainee will be funded for two years contingent on satisfactory progress. In exceptional cases a third year of funding will be considered. This training grant has brought together faculty from four schools and 14 PhD-granting departments within the university to address the current gap in scientific training. During the years 2002 to 2010, this training grant has successfully completed training of 22 predoctoral students in the art of genomic analysis and interpretation. These doctorates have gone on to productive careers in genomic sciences in industry, government, and academia. PUBLIC HEALTH RELEVANCE: Genetics is now a major driving force for modern biomedical research. As genetic experiments become more automated and miniaturized, data analysis and interpretation become the biggest bottlenecks to discovery. This program seeks to train a new generation of computational geneticists able to turn this flood of data into useful biomedical knowledge.

描述(申请人提供)：将DNA测序技术最近的量子飞跃收集的数据转化为有用的生物医学知识是21世纪最大的科学挑战之一。现在收集的海量DNA数据没有计算机是无法访问、操纵或分析的。然而，最大的瓶颈涉及软件而不是硬件。尽管目前的复杂程度，我们仍然缺乏足够的理论和算法来快速和准确地执行分子遗传学和遗传流行病学的许多基本任务。这将需要经过生物科学和数学科学培训的新一代科学家来推动我们国家的基因组议程。很少有大学有基础设施和人力资源来开展加州大学洛杉矶分校可能开展的基因组分析培训计划。我们培训计划的核心课程包括分子生物学、人类遗传学、概率统计、生物信息学和生物医学伦理学。学生还必须准备并参加相关的每周科学研讨会。实习生每月集体会见项目教职员工和主任，以了解常规课程中未涉及的职业问题。每年，我们将培训12名博士后研究生，优先从博士生项目的前半部分抽调。每名受训人员将获得为期两年的资助，具体期限视进展情况而定。在特殊情况下，将考虑第三年的供资。这笔培训补助金汇集了大学内四个学院和14个博士授予系的教职员工，以解决目前在科学培训方面的差距。在2002至2010年间，该培训基金成功地完成了对22名博士前学生的基因组分析和解释艺术的培训。这些博士在工业、政府和学术界的基因组科学领域取得了丰硕的成就。 公共卫生相关性：遗传学现在是现代生物医学研究的主要驱动力。随着基因实验变得更加自动化和微型化，数据分析和解释成为发现的最大瓶颈。该计划旨在培养新一代计算遗传学家，能够将这些海量数据转化为有用的生物医学知识。