Training Grant in Genomic Analysis and Interpretation

描述：(申请人提供)将人类收集的数据 基因组计划进入知识是最大的科学挑战之一 21世纪。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，最大的瓶颈涉及软件而不是硬件。在……里面 尽管目前的复杂程度，我们仍然缺乏足够的理论和 可靠地执行诸如识别基因等基本任务的算法 边界。这将需要新一代科学家在两个方面都接受过培训 生物和数学科学推动我们国家的基因组 议程。很少有大学拥有基础设施和人力资源来开展 加州大学洛杉矶分校可能实施的基因组学培训计划。这笔培训补助金 将汇集来自4个不同学院和15个系的教职员工 大学解决目前在科学培训方面的差距。它将会训练 基因组分析和基因组学艺术方面的博士后和博士后 释义。

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 reliably perform such fundamental tasks as recognizing gene boundaries. 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 will bring together faculty from 4 different schools and 15 departments in the university to address the current gap in scientific training. It will train both predoctoral and postdoctoral students in the art of genomics analysis and interpretation.