The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10
Open accessAbstract
The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package has become a primary tool for Bayesian phylogenetic and phylodynamic inference from genetic sequence data. BEAST unifies molecular phylogenetic reconstruction with complex discrete and continuous trait evolution, divergence-time dating, and coalescent demographic models in an efficient statistical inference engine using Markov chain Monte Carlo integration. A convenient, cross-platform, graphical user interface allows the flexible construction of complex evolutionary analyses.
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Citations
Cites
BEAST 2: a software platform for Bayesian evolutionary analysis
Bouckaert, R., Heled, J., Kühnert, D., Vaughan, T., Wu, C.-H., Xie, D., Suchard, M. A., Rambaut, A., & Drummond, A. J. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003537 · Cited by 6,527
Self-citationMapping the Antigenic and Genetic Evolution of Influenza Virus
Smith, D. J., Lapedes, A. S., de Jong, J. C., Bestebroer, T. M., Rimmelzwaan, G. F., Osterhaus, A. D. M. E., & Fouchier, R. A. M. (2004) · Science · doi:10.1126/science.1097211 · Cited by 1,868
Cited by
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis
Bouckaert, R., Vaughan, T. G., Barido-Sottani, J., Duchêne, S., Fourment, M., Gavryushkina, A., Heled, J., Jones, G., Kühnert, D., De Maio, N., et al. (2019) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006650 · Cited by 4,556
Self-citationGenomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil
Faria, N. R., Mellan, T. A., Whittaker, C., Claro, I. M., Candido, D. D. S., Mishra, S., Crispim, M. A. E., Sales, F. C. S., Hawryluk, I., McCrone, J. T., et al. (2021) · Science · doi:10.1126/science.abh2644 · Cited by 1,461
Self-citationAssessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England
The COVID-19 Genomics UK (COG-UK) consortium, Volz, E., Mishra, S., Chand, M., Barrett, J. C., Johnson, R., Geidelberg, L., Hinsley, W. R., Laydon, D. J., Dabrera, G., et al. (2021) · Nature · doi:10.1038/s41586-021-03470-x · Cited by 1,611
Self-citationEvaluating the Effects of SARS-CoV-2 Spike Mutation D614G on Transmissibility and Pathogenicity
Volz, E., Hill, V., McCrone, J. T., Price, A., Jorgensen, D., O’Toole, Á., Southgate, J., Johnson, R., Jackson, B., Nascimento, F. F., et al. (2021) · Cell · doi:10.1016/j.cell.2020.11.020 · Cited by 1,006
Self-citationEvolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic
Boni, M. F., Lemey, P., Jiang, X., Lam, T. T.-Y., Perry, B. W., Castoe, T. A., Rambaut, A., & Robertson, D. L. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0771-4 · Cited by 1,014
“Specifically, using a formal Bayesian approach (Suchard et al., 2018) (see Methods ), we estimate a fast evolutionary rate (0.00169 subst/site/yr, 95% highest posterior density (HPD) interval [0.00131,0.00205]) for SARS viruses sampled over a limited time scale (1 year), a slower rate (0.00078…”
MethodInfluentialSelf-citation
Metadata
- Authors
- Suchard, M. A., Lemey, P., Baele, G., Ayres, D. L., Drummond, A. J., & Rambaut, A.
- Venue
- Virus Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-01-01
- Volume
- 4
- Issue
- 1
- Pages
- vey016-vey016
- ISSN
- 2057-1577 (ISSN-L)
- OpenAlex
- W2807308836
- Cited by
- 3,792
- References
- 2
- FWCI
- 94.80
- Type
- journal article
- Language
- en
- Open access
- gold
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- Suchard, M. A., Lemey, P., Baele, G., Ayres, D. L., Drummond, A. J., & Rambaut, A. (2018). Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evolution. https://doi.org/10.1093/ve/vey016
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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