James H. Degnan, Ph.D.
Affiliations: | 2005 | University of New Mexico, Albuquerque, NM, United States |
Area:
StatisticsGoogle:
"James Degnan"Parents
Sign in to add mentorLaura S. Kubatko | grad student | 2005 | Univ. of New Mexico | |
(Gene tree distributions under the coalescent process.) |
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Publications
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Zhelezov G, Degnan JH. (2022) Trying Out a Million Genes to Find the Perfect Pair with RTIST. Bioinformatics (Oxford, England) |
Alanzi AAR, Degnan JH. (2021) Statistical inconsistency of the unrooted minimize deep coalescence criterion. Plos One. 16: e0251107 |
Kim A, Degnan JH. (2021) Heuristics for unrooted, unranked, and ranked anomaly zones under birth-death models. Molecular Phylogenetics and Evolution. 107162 |
Kim A, Degnan J. (2020) PRANC: ML species tree estimation from the ranked gene trees under coalescence. Bioinformatics (Oxford, England) |
Kim A, Rosenberg NA, Degnan JH. (2019) Probabilities of unranked and ranked anomaly zones under birth-death models. Molecular Biology and Evolution |
Degnan JH. (2017) Modeling hybridization under the network multispecies coalescent. Systematic Biology |
Allman ES, Degnan JH, Rhodes JA. (2017) Split Probabilities and Species Tree Inference Under the Multispecies Coalescent Model. Bulletin of Mathematical Biology |
Alanzi ARA, Degnan JH. (2017) Inferring rooted species trees from unrooted gene trees using approximate Bayesian computation. Molecular Phylogenetics and Evolution |
Allman E, Degnan J, Rhodes J. (2016) Species tree inference from gene splits by Unrooted STAR methods. Ieee/Acm Transactions On Computational Biology and Bioinformatics |
Zhu S, Degnan JH. (2016) Displayed Trees Do Not Determine Distinguishability Under the Network Multispecies Coalescent. Systematic Biology |