Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC 20057, USA.
Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA.
Comput Math Methods Med. 2014;2014:194202. doi: 10.1155/2014/194202. Epub 2014 Feb 23.
DNA sequence data are now being used to study the ancestral history of human population. The existing methods for such coalescence inference use recursion formula to compute the data probabilities. These methods are useful in practical applications, but computationally complicated. Here we first investigate the asymptotic behavior of such inference; results indicate that, broadly, the estimated coalescent time will be consistent to a finite limit. Then we study a relatively simple computation method for this analysis and illustrate how to use it.
DNA 序列数据现在被用于研究人类种群的祖先历史。现有的用于这种合并推断的方法使用递归公式来计算数据概率。这些方法在实际应用中很有用,但计算复杂。在这里,我们首先研究这种推断的渐近行为;结果表明,广义上,估计的合并时间将一致收敛到有限极限。然后,我们研究了这种分析的一种相对简单的计算方法,并说明了如何使用它。