THEORY & APPLIED STUDIES IN EVOLUTIONARY GENETICS

此应用程序请求支持我们的持续研究 在进化理论中的活动，以及在分子分析中的活动， 序列数据 重点是发展数学， 统计和计算概念和方法，以帮助评估和 解释分子序列特征和决定因素 进化过程 我们的研究计划将集中在 四大领域。1)社会特征进化的研究 强调利他和合作行为; 2）研究 进化理论和过程，包括性别分配和性别 转换动力学和下修饰基因的进化 不同生育制度;（3）人类群体遗传学， 基因图谱的开发和解释， 受遗传和文化影响的性状进化模型 影响;（4）分子序列数据的研究，包括 密码子性质和氨基酸偏好性的研究 关于基因的不同分类和广泛的 分析了不同的电荷和亲水性配置， 许多物种中的基因类别和可能的解释 功能和结构。 理论分析、数据分析、计算机之间的相互作用 算法，以及与生物学家和医学系的互动， 斯坦福大学一直是我们项目的关键因素。 独特的 我们的团队和生物学成员之间的合作， 医疗部门提供了一个理想的框架， 本研究目的在此基础上。

This application requests support for our continuing research activities in evolutionary theory, and in the analysis of molecular sequence data. The emphasis is on developing mathematical, statistical, and computing concepts and methods to help assess and interpret molecular sequence features and determinants of evolutionary processes. Our research program will concentrate in four main areas. 1) Studies of the evolution of social traits with emphasis on altruistic and cooperative behaviors; 2) studies in evolutionary theory and processes including sex allocation and sex conversion dynamics and the evolution of modifier genes under differential fertility regimes; (3) human population genetics with the development and interpretation of gene frequently maps and modeling of the evolution of traits subject to genetic and cultural influences; (4) studies of molecular sequence data including investigations on the nature of codon and amino acid preferences with respect to different classifications of genes and an extensive analysis of charge and hydropathy configurations over different categories of genes in many species and possible interpretations for function and structure. The interplay between theoretical analysis, data analysis, computer algorithms, and interaction with biologists and medical faculty at Stanford has been a key factor in our program. The unique collaboration between our groups and members of the biology and medical departments provides an ideal framework for achieving the research objectives defined in this grant.