Comparative Genomics of Gene Family Evolution

基因家族进化的比较基因组学

• 批准号: 0528465
• 负责人: Matthew Hahn
• 金额: $ 5万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-02-01 至 2008-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0528465&HistoricalAwards=false
• 关键词: Comparative; Genomics; Gene; Family; Evolution

In his recent NSF Postodoctoral Research Fellowship, the PI has developed a stochastic birth and death model for gene family evolution. Using the genomes of five yeast species, the PI has shown that the model can be efficiently applied to multi-species genome comparisons. In the current project, the PI will use the model to identify large-scale patterns in genome evolution and make stronger inferences regarding the role of natural selection in gene family expansion or contraction. The goals of this project are to extend the statistical methodology available for making inferences using the birth and death model. The project will include both improvements to the computational and statistical methods used to study gene family evolution and the analysis of an ever-growing number of genomes. The project will result in the production of a freestanding software package that the investigator will make available to the research community. The PI has just very recently moved to his new position as assistant professor, so has not yet begun training students.

PI在他最近的NSF后载体研究奖学金中，为基因家族进化开发了一种随机的出生和死亡模型。使用五种酵母菌的基因组，PI表明该模型可以有效地应用于多物种基因组比较。在当前项目中，PI将使用该模型来识别基因组进化中的大规模模式，并就自然选择在基因家族膨胀或收缩中的作用做出更强的推论。该项目的目标是扩展可用于使用出生和死亡模型来推断的统计方法。该项目将包括用于研究基因家族进化的计算和统计方法的改进以及对不断增长的基因组的分析。 该项目将导致生产一个独立软件包，研究人员将向研究社区提供该软件包。 PI刚刚刚刚晋升为助理教授的新职位，因此尚未开始培训学生。