Postdoctoral Research Fellowship in Interdisciplinary Informatics for FY 2003

该行动为2003财政年度NSF跨学科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研究和培训。该研究金的目标是向青年科学家提供培训，为从事生物信息学方面的研究和教育相结合的职业做准备。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。越来越需要在所有职业级别上进行生物信息学培训，预期通过这些研究金培训的研究员将在培训未来工作人员方面发挥重要作用。这项研究和培训计划的标题是“利用基因组数据整合重建分子途径的概率模型”。各种方法在全基因组范围内探测复杂生物系统的不同属性，为生物信息学界提供了大量的数据。本研究项目开发的模型和算法适用于计算重建的分子途径，通过整合不同的数据类型和多物种使用概率图形模型。

This action funds an NSF Postdoctoral Research Fellowship in Interdisciplinary Informatics for fiscal year 2003. 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. These fellowships provide opportunities for interdisciplinary research and educational activities in biology and informatics to a wide range of recent doctoral recipients. 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 the future workforce. The research and training plan is entitled "Probabilistic models for reconstructing molecular pathways using an integration of genomic data." Various methods probe different attributes of complex biological systems at a genome-wide scale, providing the bioinformatics community with massive amounts of data. This research project develops models and algorithms suited for computational reconstruction of molecular pathways through the integration of diverse data types and multiple species using probabilistic graphical models.