Training Grant in Genomic Analysis and Interpretation

将人类基因组计划收集的数据转化为知识是21世纪世纪最大的科学挑战之一。现在收集的大量DNA序列数据和蛋白质数据没有计算机就无法访问、操作或分析。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执行许多基本任务，在分子遗传学和遗传流行病学的速度和精度。这将需要新一代的科学家在生物和数学科学方面的培训，以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的范围内的基因组学培训计划。这项培训补助金汇集了来自大学四所不同学校和14个不同部门的教师，以解决目前科学培训方面的差距。在2002年至2006年期间，它已经培训了20名博士生在基因组分析和解释的艺术。

DESCRIPTION (provided by applicant): Turning the data collected by the Human Genome Project into knowledge is one of the biggest scientific challenges of the 21st Century. The enormous volume of DNA sequence data and protein 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 genomics training program of the scope possible at UCLA. This training grant has brought together faculty from four different schools and 14 different departments in the university to address the current gap in scientific training. During the years 2002 to 2006, it has trained 20 predoctoral students in the art of genomic analysis and interpretation.