The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Phylogeny estimation: traditional and Bayesian approaches
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Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
MRBAYES: Bayesian inference of phylogenetic trees.
Huelsenbeck, J. P., & Ronquist, F. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.8.754 · Cited by 21,937
Monte Carlo sampling methods using Markov chains and their applications.
Hastings, W. K. (1970) · Biometrika · doi:10.1093/biomet/57.1.97 · Cited by 15,195
Evolutionary trees from DNA sequences: A maximum likelihood approach.
Felsenstein, J. (1981) · Journal of Molecular Evolution · doi:10.1007/bf01734359 · Cited by 14,571
Molecular Evolution and Phylogenetics
Nei, M., & Kumar, S. (2000) · doi:10.1093/oso/9780195135848.001.0001 · Cited by 8,012
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
Lanciotti, R. S., Roehrig, J. T., Deubel, V., Smith, J., Parker, M., Steele, K., Crise, B., Volpe, K. E., Crabtree, M. B., Scherret, J. H., et al. (1999) · Science · doi:10.1126/science.286.5448.2333 · Cited by 1,593
Estimating the rate of evolution of the rate of molecular evolution
Thorne, J. L., Kishino, H., & Painter, I. S. (1998) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a025892 · Cited by 1,317 · cited 3×
“Thorne et al.(37) and others have proposed methods of estimating the dates associated with branch points in a phylogenetic tree.”
BackgroundMethodBayesian Selection of Continuous-Time Markov Chain Evolutionary Models
Suchard, M. A., Weiss, R. E., & Sinsheimer, J. S. (2001) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a003872 · Cited by 791
Performance of a divergence time estimation method under a probabilistic model of rate evolution.
Kishino, H., Thorne, J. L., & Bruno, W. J. (2001) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a003811 · Cited by 633 · cited 1×
“In the model of Thorne et al.(37,38), the rate of molecular evolution evolves over the tree: species that are evolving quickly are expected to give rise to species with high, but not necessarily identical, rates of evolution.”
Background
Cited by
Posada, D., & Buckley, T. R. (2004) · Systematic Biology · doi:10.1080/10635150490522304 · Cited by 3,927
Identification of Birds through DNA Barcodes
Hebert, P. D. N., Stoeckle, M. Y., Zemlak, T. S., & Francis, C. M. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020312 · Cited by 2,653
TreeGraph 2: Combining and visualizing evidence from different phylogenetic analyses
Stöver, B. C., & Müller, K. F. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-7 · Cited by 1,620
Computing Bayes factors using thermodynamic integration.
Lartillot, N., & Philippe, H. (2006) · Systematic Biology · doi:10.1080/10635150500433722 · Cited by 668
Evolution of microRNA genes by inverted duplication of target gene sequences in Arabidopsis thaliana
Allen, E., Xie, Z., Gustafson, A. M., Sung, G.-H., Spatafora, J. W., & Carrington, J. C. (2004) · Nature Genetics · doi:10.1038/ng1478 · Cited by 520
Metadata
- Authors
- Holder, M., & Lewis, P. O.
- Venue
- Nature Reviews Genetics
- Published
- 2003-04
- Volume
- 4
- Issue
- 4
- Pages
- 275-284
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2063479108
- Cited by
- 638
- References
- 11
- FWCI
- 2.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Phylogeny estimation: traditional and Bayesian approaches. https://app.cochat.ai/papers/10.1038/nrg1044
- The paper
- Holder, M., & Lewis, P. O. (2003). Phylogeny estimation: traditional and Bayesian approaches. Nature Reviews Genetics. https://doi.org/10.1038/nrg1044
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
