Saddlepoint approximation, likelihood analysis and ancestral graphs for strong and weak natural selection, genetic drift and population subdivision.

在理论种群遗传学和相关统计技术方面建立新的研究力量将增强澳大利亚利用后基因组信息的能力。在这个项目中，正在开发巧妙利用遗传数据的复杂统计技术。自然选择和迁徙对种群水平上当前遗传多态的影响程度可以使用这些新方法进行量化。新的建模提供了一个严格的基础，用来构建目前超出数据计算方法的推理技术。评估与人类疾病相关的基因突变的选择性效应将是这种新的统计方法的结果。

Building new research strength in theoretical population genetics and related statistical techniques will enhance Australia's capability in harnessing the power of post-genomic information. Sophisticated statistical techniques that make smart use of genetic data are being developed in this project. The extent to which natural selection and migration affect current genetic polymorphism on a population level can be quantified using these new methods. New modeling provides a rigorous foundation with which to construct inference techniques currently beyond computational approaches to the data. Assessing selective effects on genetic mutations associated with human disease will be a consequence of this new statistical methodology.