Author

B. R. Moore

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 4

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:host-pathogen & immune response· 1 Organism:virus· 1

Frequent Co-Authors

M. R. May· 4 shared B. Rannala· 2 shared J. Gao· 2 shared J. Huelsenbeck· 1 shared S. Hoehna· 1 shared W. A. Freyman· 1 shared Z. Nolen· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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4 shared papersEvolutionary Biology

M. R. May

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4 papers

Recent·Most cited

PrioriTree: a utility for improving phylodynamic analyses in BEAST

J. Gao, M. R. May, B. Rannala, B. R. Moore

PrioriTree helps researchers assess prior sensitivity in discrete-geographic phylodynamic models by generating BEAST input files and summarizing outputs for robust Bayesian inference.

Bioinformatics · Jan 2, 2023Peer-reviewedEvolutionary Biology

Phylodynamic insights on the early spread of the COVID-19 pandemic and the efficacy of intervention measures

J. Gao, M. R. May, B. Rannala, B. R. Moore

Phylodynamic analyses reveal that variation in rates of early geographic spread of COVID-19 are correlated with intervention measures.

bioRxiv · May 1, 2021 · PreprintEvolutionary Biology

A Bayesian Approach for Inferring the Impact of a Discrete Character on Rates of Continuous-Character Evolution in the Presence of Background Rate Variation

M. R. May, B. R. Moore

The paper introduces a Bayesian method to infer how a discrete trait affects continuous-character evolution rates, accounting for background rate variation, and shows it outperforms existing methods in simulations.

bioRxiv · Mar 13, 2019Evolutionary Biology

A Bayesian Approach for Estimating Branch-Specific Speciation and Extinction Rates

S. Hoehna, W. A. Freyman, Z. Nolen, J. Huelsenbeck, M. R. May, B. R. Moore

This paper introduces a Bayesian method to estimate branch-specific diversification rates in phylogenies, accounting for extinct lineages and showing increased diversification rates in Old World Monkeys.

bioRxiv · Feb 20, 2019 · PreprintEvolutionary Biology