James H. Degnan, Ph.D.

Affiliations: 
2005 University of New Mexico, Albuquerque, NM, United States 
Area:
Statistics
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"James Degnan"

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Laura 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
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