Postdoctoral Research Fellowship in Biological Informatics for FY2001

2001财年生物信息学博士后研究奖学金

• 批准号: 0107592
• 负责人: Dennis Wall
• 金额: $ 10万
• 依托单位: Wall, Dennis P
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-10-01 至 2003-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0107592&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

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 "Exploring phylogenetic trends of gene sequence, protein form and function to comprehend processes of molecular evolution." The photosynthetic gene rbcL and a large phylogeny are being used to link molecular selection linking gene sequence to protein form and function. Evolutionary trends are being used to reveal patterns of molecular selection that are otherwise invisible and are helping to generate viable theories about gene-protein relationships. The research is focused on developing generally applicable models of gene and protein evolution and providing informatic tools to question processes of molecular selection in other genes and systems.

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。 该奖学金支持在生物学和信息，计算，数学和统计科学的交叉点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“探索基因序列、蛋白质形式和功能的系统发育趋势，以理解分子进化过程。“光合作用基因rbcL和一个大的基因组被用来连接分子选择，将基因序列与蛋白质的形式和功能联系起来。 进化趋势被用来揭示分子选择的模式，这些模式在其他方面是不可见的，并有助于产生关于基因-蛋白质关系的可行理论。该研究的重点是开发普遍适用的基因和蛋白质进化模型，并提供信息学工具来质疑其他基因和系统中的分子选择过程。