Brian R. Moore, Ph.D.

Affiliations: 
University of California, Davis University of California, Davis, Davis, CA 
Area:
Phylogenetics
Website:
http://www.phylodiversity.net/bmoore/
Google:
"Brian Moore"

Parents

Sign in to add mentor
Michael Donoghue grad student 2001-2007 Yale
 (Inferring differential rates of diversification from phylogenies.)
John P. Huelsenbeck post-doc UC Berkeley

Children

Sign in to add trainee
Andrew Magee research assistant 2015-2016 UC Davis
Michael R. May grad student UC Davis
Jiansi Gao grad student 2014-2022 UC Davis
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Gao J, May MR, Rannala B, et al. (2023) Model misspecification misleads inference of the spatial dynamics of disease outbreaks. Proceedings of the National Academy of Sciences of the United States of America. 120: e2213913120
Gao J, May MR, Rannala B, et al. (2023) PrioriTree: a utility for improving phylodynamic analyses in BEAST. Bioinformatics (Oxford, England). 39
Gao J, May MR, Rannala B, et al. (2022) New Phylogenetic Models Incorporating Interval-Specific Dispersal Dynamics Improve Inference of Disease Spread. Molecular Biology and Evolution
Thompson A, May MR, Moore BR, et al. (2020) A hierarchical Bayesian mixture model for inferring the expression state of genes in transcriptomes. Proceedings of the National Academy of Sciences of the United States of America
May MR, Moore BR. (2019) A Bayesian Approach for Inferring the Impact of a Discrete Character on Rates of Continuous-Character Evolution in the Presence of Background-Rate Variation. Systematic Biology
Turelli M, Cooper BS, Richardson KM, et al. (2018) Rapid Global Spread of wRi-like Wolbachia across Multiple Drosophila. Current Biology : Cb
Moore BR, Höhna S, May MR, et al. (2016) Critically evaluating the theory and performance of Bayesian analysis of macroevolutionary mixtures. Proceedings of the National Academy of Sciences of the United States of America
Höhna S, Landis MJ, Heath TA, et al. (2016) RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language. Systematic Biology
May MR, Moore BR. (2016) How Well Can We Detect Lineage-Specific Diversification-Rate Shifts? A Simulation Study of Sequential AIC Methods. Systematic Biology
May MR, Höhna S, Moore BR. (2016) A Bayesian approach for detecting the impact of mass-extinction events on molecular phylogenies when rates of lineage diversification may vary Methods in Ecology and Evolution
See more...