Postdoctoral Research Fellowship in Biological Informatics FY 2006

生物信息学博士后研究奖学金 2006 财年

• 批准号: 0630626
• 负责人: Stephanie Carlson
• 金额: $ 12万
• 依托单位: Carlson, Stephanie M
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0630626&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

Project Title: Illuminating the true form and variability of selection in natureThis project is awarded under the Postdoctoral Research Fellowships in Biological Informatics Program for 2006. The main goal of this project is to develop a Bayesian framework for addressing historically challenging questions in evolutionary biology. The fellow will employ Bayesian methods to estimate selection, disentangle the factors driving temporal variation in selection coefficients, and characterize the within and among system variability in the strength of selection. To address these questions, she will utilize a previously unexploited long-term data set on threespine stickleback body size and previously published estimates of selection generated from long-term selection studies. The fellow will carry out her postdoctoral training with Marc Mangel at the University of California at Santa Cruz where she will develop quantitative skills including Bayesian statistics. She will take courses in applied mathematics, attend seminars in quantitative ecology, and immerse myself in quantitative projects. This training will prepare for a career dependent on complementary use of empirical data sets, evolutionary theory, and sophisticated quantitative approaches to advance work in evolutionary biology.

项目名称：“揭示自然选择的真实形式和变异性”，2006年度中国科学院生物信息学博士后科研资助项目。该项目的主要目标是开发一个贝叶斯框架来解决进化生物学中具有历史挑战性的问题。该研究员将采用贝叶斯方法来估计选择，解开驱动选择系数时间变化的因素，并表征系统内部和系统之间的选择强度变异性。为了解决这些问题，她将利用以前未开发的三刺棘鱼身体大小的长期数据集和以前发表的从长期选择研究中产生的选择估计。她将在加州大学圣克鲁兹分校跟随马克·曼格尔进行博士后培训，在那里她将发展包括贝叶斯统计在内的定量技能。她将学习应用数学的课程，参加定量生态学的研讨会，并沉浸在定量项目中。这个培训将为你的职业生涯做准备，它依赖于经验数据集、进化理论和复杂的定量方法的补充使用，以推进进化生物学的工作。