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最大的科学之一 21世纪的挑战.现在海量的DNA序列数据和蛋白质数据 如果没有计算机，就不能访问、处理或分析收集的数据。然而，最伟大的 瓶颈涉及软件，而不是硬件。尽管目前的技术水平很高，但我们仍然缺乏 足够的理论和算法来执行分子遗传学和遗传学中的许多基本任务 快速和精确的流行病学。这将需要新一代科学家在两个方面都接受过培训 生物和数学科学来推动我们国家的基因组议程。很少有大学有这样的 开展基因组学培训计划所需的基础设施和人力资源 加州大学洛杉矶分校。这笔培训补助金汇集了来自四所不同学校和14所不同学校的教师。 在大学各部门解决目前在科学培训方面的差距。在2002至2006年间， 它已经培训了20名博士前学生，学习基因组分析和解释的艺术。

Turning the data collected by the Human Genome Project into knowledge is one of the biggest scientific challenges of the 21 st Century. The enormous volume of DMAsequence 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 14different 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.