Distributions of selection coefficients from phylogenomic data - modeling the time-heterogeneity of the substitution process

系统发育数据的选择系数分布 - 模拟替代过程的时间异质性

• 批准号: 435516-2013
• 负责人: Rodrigue, Nicolas
• 金额: $ 2.26万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=552789
• 关键词: Distributions; selection; coefficients; phylogenomic; data

Thanks to the availability of a broad spectrum of bio-molecular data, and the capabilities of modern computing machines, the field of statistical modeling of molecular evolution has been undergoing rapid advances in recent years. Among these advances are a class of substitution models known as mutation-selection models, in which distinct parameters are assigned to mutational features and selective effects. These models are inspired by population-genetics theory, yet are applicable to the analysis of homologous genes sampled across several different species. Using the formalisms of probability theory, one can quantify the evidence for a given model, and by comparing the evidence for several alternative forms of mutation-selection models, one can understand the relative importance of the different elements bearing on the overall, long-term evolutionary process.

由于广泛的生物分子数据的可用性，以及现代计算机的能力，分子进化的统计建模领域近年来一直在迅速发展。 在这些进展中，有一类被称为突变选择模型的替代模型，其中为突变特征和选择效应分配了不同的参数。 这些模型受到群体遗传学理论的启发，但适用于分析几个不同物种的同源基因。 使用概率论的形式主义，人们可以量化给定模型的证据，并通过比较几种替代形式的突变选择模型的证据，人们可以理解不同元素对整体的相对重要性，长期进化过程。