PRANC：基于合并下的排序基因树进行 ML 种系发生树估计。
PRANC: ML species tree estimation from the ranked gene trees under coalescence.
机构信息
Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87106, USA.
出版信息
Bioinformatics. 2020 Sep 15;36(18):4819-4821. doi: 10.1093/bioinformatics/btaa605.
Abstract
SUMMARY
PRANC computes the Probabilities of RANked gene tree topologies under the multispecies coalescent. A ranked gene tree is a gene tree accounting for the temporal ordering of internal nodes. PRANC can also estimate the maximum likelihood (ML) species tree from a sample of ranked or unranked gene tree topologies. It estimates the ML tree with estimated branch lengths in coalescent units.
AVAILABILITY AND IMPLEMENTATION
PRANC is written in C++ and freely available at github.com/anastasiiakim/PRANC.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
摘要
PRANC 计算了多物种合并下排列基因树拓扑结构的概率。排列基因树是一种考虑内部节点时间顺序的基因树。PRANC 还可以从排列或未排列的基因树拓扑结构样本中估计最大似然（ML）种系发生树。它使用合并单位中的估计分支长度来估计 ML 树。
可用性和实现
PRANC 是用 C++编写的，可在 github.com/anastasiiakim/PRANC 上免费获得。
补充信息
补充数据可在 Bioinformatics 在线获得。
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