课题基金 / 基金详情

Postdoctoral Research Fellowship in Interdisciplinary Informatics for FY 2003

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:
$10.0万
依托单位:
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
项目状态:
已结题
起止时间:
2003-10-01 至 2005-09-30

项目摘要

项目成果

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中文摘要
翻译
跨学科信息学博士后研究奖学金由数学和物理科学理事会(MPS)和生物科学理事会(BIO)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。这些奖学金为范围广泛的最近获得博士学位的人(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)提供了在生物学和信息学方面进行跨学科研究和教育活动的机会。预计通过这些研究金培训的研究员将在培训未来的工作人员方面发挥重要作用。信息学的博士后研究和培训将使受过生物、数学、化学和物理科学培训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的发展。研究和培训计划的标题是“研究调控序列选择的群体基因组学方法”。在种群遗传框架中研究整个基因组的选择所需的许多计算、统计和理论工具尚不存在。这项研究通过开发研究真核基因组选择所需的信息学工具,扩展了以前在单细胞基因组中针对虚假转录因子结合位点进行选择的计算工作。
英文摘要
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.
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会议论文
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