Postdoctoral Research 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。在所有职业层面上，对生物信息学培训的需求越来越大，预计通过这些研究金培训的研究员将在未来劳动力的培训中发挥重要作用。该研究金的研究和培训计划题为“估计全球微生物多样性：生物信息学方法”。标度律、概率和组合理论正被用来在广泛的空间尺度和不同的系统发育分辨率水平上量化生物多样性格局。利用计算机密集的空间统计分析和模拟建模，正在用一个比以前报道的任何一个数量级大两个数量级的微生物遗传数据库来检验假设(在澳大利亚收集了大约1平方米到大约10,000平方公里的~73,000个16S rDNA克隆，通过RFLP和其他复杂的遗传技术进行分析)。

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 "Estimating global microbial diversity: A bioinformatics approach." Scaling law, probability and combinatorial theory are being used to quantify biodiversity patterns across a wide range of spatial scales and at different levels of phylogenetic resolution. Using computer intensive spatial statistical analyses and simulation modeling, hypotheses are being tested with a microbial genetic database two orders of magnitude larger than any previously reported (~73,000 16S rDNA clones collected over ~ 1 m2 to ~10,000 km2 in Australia, analyzed by RFLP and other sophisticated genetic techniques).