Postdoctoral Research Fellowship in Interdisciplinary Informatics for FY 2003

2003财年跨学科信息学博士后研究奖学金

• 批准号: 0305994
• 负责人: Matthew Hahn
• 金额: $ 10万
• 依托单位: Hahn, Matthew W
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-10-01 至 2005-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0305994&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Interdisciplinary; Informatics

Postdoctoral Research Fellowships in Interdisciplinary Informatics are sponsored jointly by the Directorates for Mathematical and Physical Sciences (MPS) and Biological Sciences (BIO) to encourage research and training that cross the traditional disciplinary boundaries between them. These fellowships provide opportunities for interdisciplinary research and educational activities in biology and informatics to a wide range of recent doctoral recipients (biologists, chemists, physicists, mathematicians, statisticians, computer scientists, and others). It is expected that the Fellows trained through these fellowships will play an important role in training the future workforce. Postdoctoral research and training in informatics will permit junior scientists trained in biology, mathematical, chemical, and physical sciences to play key roles in developing new quantitative tools and methods that will advance informatics in biology and other fields.The research and training plan is entitled "A population genomics approach to studying selection on regulatory sequences." Many computational, statistical, and theoretical tools necessary to investigate selection on whole genomes in a population genetic framework are not yet available. This study extends previous computational work on selection throughout unicellular genomes against spurious transcription factor binding sites by developing the informatic tools needed to study selection on eukaryotic genomes.

跨学科信息学博士后研究奖学金由数学和物理科学（MPS）和生物科学（BIO）理事会联合赞助，以鼓励跨越它们之间传统学科界限的研究和培训。这些奖学金为生物学和信息学的跨学科研究和教育活动提供了机会，以广泛的近期博士获得者（生物学家，化学家，物理学家，数学家，统计学家，计算机科学家等）。预期通过这些研究金培训的研究员将在培训未来劳动力方面发挥重要作用。信息学方面的博士后研究和培训将允许生物学、数学、化学和物理科学方面的初级科学家在开发新的定量工具和方法方面发挥关键作用，这些工具和方法将推动生物学和其他领域的信息学。这项研究和培训计划的标题是“用种群基因组学方法研究调控序列的选择”。在种群遗传框架中研究全基因组选择所必需的许多计算、统计和理论工具尚不可用。本研究通过开发研究真核生物基因组选择所需的信息学工具，扩展了以前在整个单细胞基因组中针对虚假转录因子结合位点的选择的计算工作。