466 citations · 553 across the 25 of their papers we have counts for
21 papers · 1 filter
The Tree of Blobs of a Species Network: Identifiability under the Coalescent
Elizabeth S. Allman, Hector Baños, Jonathan D. Mitchell +1
Inference of species networks from genomic data under the Network Multispecies Coalescent Model is currently severely limited by heavy computational demands. It also remains unclea…
Identifiability of species network topologies from genomic sequences using the logDet distance
Elizabeth S. Allman, Hector Baños, John A. Rhodes
Inference of network-like evolutionary relationships between species from genomic data must address the interwoven signals from both gene flow and incomplete lineage sorting. The h…
Parameter identifiability for a profile mixture model of protein evolution
Samaneh Yourdkhani, Elizabeth S. Allman, John A. Rhodes
A Profile Mixture Model is a model of protein evolution, describing sequence data in which sites are assumed to follow many related substitution processes on a single evolutionary…
Testing Multispecies Coalescent Simulators using Summary Statistics
Elizabeth S. Allman, Hector Baños, John A. Rhodes
As genomic scale datasets motivate research on species tree inference, simulators of the multispecies coalescent (MSC) process are essential for the testing and evaluation of new i…
NANUQ: A method for inferring species networks from gene trees under the coalescent model
Elizabeth Allman, Hector Banos, John Rhodes
Species networks generalize the notion of species trees to allow for hybridization or other lateral gene transfer. Under the Network Multispecies Coalescent Model, individual gene…
Species tree inference from genomic sequences using the log-det distance
Elizabeth S. Allman, Colby Long, John A. Rhodes
The log-det distance between two aligned DNA sequences was introduced as a tool for statistically consistent inference of a gene tree under simple non-mixture models of sequence ev…