Postdoctoral Reserarch Fellowship in Biological Informatics for FY2001

这一行动为2001财政年度的NSF生物信息学博士后研究奖学金提供资金。 该奖学金支持生物学与信息、计算、数学和统计科学交叉领域的博士后水平的研究和培训。该研究金的目标是向一名青年科学家提供培训，为从事研究和教育相结合的生物信息学职业做准备。在所有职业级别上对生物信息学培训的需求日益增加，预计通过这些研究金培训的研究员将在培训未来的劳动力方面发挥重要作用，该研究金的研究和培训计划题为“利用核糖体RNA结构进行系统发生分析。“核糖体RNA基因广泛用于遗传学，并塑造了当前对生命历史的看法。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分化的序列。 这项研究开发了基于rRNA结构的遗传学概率模型。

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.