Daniel L. Ayres

2017 University of Maryland, College Park, College Park, MD 
Computational Biology
"Daniel L. Ayres"
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Baele G, Ayres DL, Rambaut A, et al. (2019) High-Performance Computing in Bayesian Phylogenetics and Phylodynamics Using BEAGLE. Methods in Molecular Biology (Clifton, N.J.). 1910: 691-722
Ayres DL, Cummings MP, Baele G, et al. (2019) BEAGLE 3: Improved Performance, Scaling, and Usability for a High-Performance Computing Library for Statistical Phylogenetics. Systematic Biology
Goodheart JA, Bleidißel S, Schillo D, et al. (2018) Comparative morphology and evolution of the cnidosac in Cladobranchia (Gastropoda: Heterobranchia: Nudibranchia). Frontiers in Zoology. 15: 43
Suchard MA, Lemey P, Baele G, et al. (2018) Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evolution. 4: vey016
Ronquist F, Teslenko M, van der Mark P, et al. (2012) MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology. 61: 539-42
Ayres DL, Darling A, Zwickl DJ, et al. (2012) BEAGLE: an application programming interface and high-performance computing library for statistical phylogenetics. Systematic Biology. 61: 170-3
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