Postdoctoral Research Fellowship in Biological Informatics for FY2001

本行动资助2001年度美国国家科学基金会生物信息学博士后研究奖学金。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。所有职业级别都日益需要生物信息学方面的培训，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。该奖学金的研究和培训计划题为“酵母基因组表达分析和共调节基因表征的替代聚类方法的发展”。该项目正在开发用于基因组表达数据分析的模糊k均值聚类，目的是识别传统方法无法识别的共调节酵母基因。在确定了一组共调控基因后，将应用多种算法来识别有助于调控表达的序列基序。

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 "Development of alternative clustering methods for genomic expression analysis and characterization of coregulated genes in yeast." This project is developing fuzzy k-means clustering for analysis of genomic expression data, with the goal of identifying coregulated yeast genes that are not identified by traditional methods. After identifying sets of coregulated genes, multiple algorithms will be applied to identify sequence motifs that contribute to the regulation of expression.