Postdoctoral Reserarch Fellowship in Biological Informatics for FY2001

这一行动为NSF 2001财年生物信息学博士后研究奖学金提供了资金。该奖学金支持生物学与信息科学、计算科学、数学科学和统计科学交叉的博士后水平的研究和培训。该研究金的目标是为一名青年科学家提供培训，为从事生物信息学的职业做准备，在生物信息学中将把研究和教育结合起来。各个职业层次对生物信息学的培训需求日益增加，预计通过这些奖学金培训的研究员将在未来劳动力的培训中发挥重要作用。该奖学金的研究和培训计划题为“利用核糖体RNA结构进行系统发育分析”。核糖体RNA基因在系统发育学中被广泛使用，并形成了当前的生命史观点。然而，传统的基于DNA序列的系统发育方法不能可靠地定位高度差异的序列。这项研究开发了基于rRNA结构的系统发育概率模型。

This action funds an NSF Postdoctoral Research Fellowship in Biological Informatics for FY2001. The fellowship supports research and training at the postdoctoral level at the intersection of biology and the informational, computational, mathematical, and statistical sciences. The goal of the fellowship is to provide training to a young scientist in preparation for a career in biological informatics in which research and education will be integrated. There is an increasing need for training in biological informatics at all occupational levels, and it is expected that Fellows trained through these fellowships will play important roles in training of the future workforce.The research and training plan for this fellowship is entitled "Phylogenetic analysis using ribosomal RNA structure." Ribosomal RNA genes are widely used in phylogenetics and have shaped current views of the history of life. Traditional DNA-sequence-based phylogenetic phylogenetic methods, however, fail to reliably place highly divergent sequences. This research develops probabilistic models for phylogenetics that are based on rRNA structure.