进化树构建相关知识

构建进化树利用的统计模型：

1，maximum likelihood------------final likelihood values

2，bayesian inference

3，parsimony

4，neighbor joining

The computation of large phylogenetic trees with statistical models such as maximum likelihood or bayesian inference is computationally extremely intensive. It has repeatedly been demonstrated that these models are able to recover the true tree or a tree which is topologically closer to the true tree more frequently than less elaborate methods such as parsimony or neighbor joining. 

================ML tree 相关===============

文章“Evolutionary Treesfrom DNA Sequences: A Maximum Likelihood Approach”

文章网址：http://xueshu.baidu.com/usercenter/paper/show?paperid=2ca6b67a1f95e2646e9e1fc400409517&site=xueshu_se

一篇ML构树原理的文章，还没有读。