On coalescence analysis using genealogy rooted trees.
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.
Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC 20057, USA.
Ao
0000-0002-8558-5604
A
Yuan
Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA.
Gengsheng
0000-0002-8058-3124
G
Qin
Department of Statistics and Actuarial Science, University of Western Ontario, London, ON, Canada N6A 5B7.
Wenqing
0000-0002-8913-9273
W
He
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
Qizhai
Q
Li
D000465:Algorithms; D019295:Computational Biology; D004272:DNA, Mitochondrial / Q000235:genetics; D005828:Genetics, Population / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D017422:Sequence Analysis, DNA / Q000379:methods*; D013997:Time Factors
D004272:DNA, Mitochondrial