64 citations · 66 across the 10 of their papers we have counts for
11 papers
Probabilities of unranked and ranked anomaly zones under birth-death models
Anastasiia Kim, Noah A. Rosenberg, James H. Degnan
A labeled gene tree topology that is more probable than the labeled gene tree topology matching a species tree is called \textit{anomalous}. Species trees that can generate such an…
Split probabilities and species tree inference under the multispecies coalescent model
Elizabeth S. Allman, James H. Degnan, John A. Rhodes
Using topological summaries of gene trees as a basis for species tree inference is a promising approach to obtain acceptable speed on genomic-scale datasets, and to avoid some unde…
Species tree inference from gene splits by Unrooted STAR methods
Elizabeth S. Allman, James H. Degnan, John A. Rhodes
The method was proposed by Liu and Yu to infer a species tree topology from unrooted topological gene trees. While its statistical consistency under the multispeci…
There are no caterpillars in a wicked forest
James H. Degnan, John A. Rhodes
Species trees represent the historical divergences of populations or species, while gene trees trace the ancestry of individual gene copies sampled within those populations. In cas…
Hybrid-Lambda: simulation of multiple merger and Kingman gene genealogies in species networks and species trees
Sha Zhu, James H Degnan, Bjarki Eldon
Hybrid-Lambda is a software package that simulates gene trees under Kingman or two Lambda-coalescent processes within species networks or species trees. It is written in C++, and r…
Species tree inference by the STAR method, and generalizations
Elizabeth S. Allman, James H. Degnan, John A. Rhodes
The multispecies coalescent model describes the generation of gene trees from a rooted metric species tree, and thus provides a framework for the inference of species trees from sa…