A computerized statistical framework for coalescent analysis
Abstract
Coalescent theory represents the most significant progress in theoretical population genetics in the past three decades. The coalescent theory states that all genes or alleles in a given population are ultimately inherited from a single ancestor shared by all members of the population, known as the most recent common ancestor. It is now widely recognized as a cornerstone for rigorous statistical analyses of molecular data from population [1]. The scientists have developed a large number of coalescent models and methods[2,3,4,5,6], which are not only applied in coalescent analysis and process, but also in today’s population genetics and genome studies, even public health. The thesis aims at completing a statistical framework based on computers for coalescent analysis. This framework provides a large number of coalescent models and statistic methods to assist students and researchers in coalescent analysis, whose results are presented in various formats as texts, graphics and printed pages. In particular, it also supports to create new coalescent models and statistical methods.
Subject Area
Biostatistics|Genetics|Public health
Recommended Citation
Sun, Huandong, "A computerized statistical framework for coalescent analysis" (2010). Texas Medical Center Dissertations (via ProQuest). AAI1483758.
https://digitalcommons.library.tmc.edu/dissertations/AAI1483758