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MrBayes 3: Bayesian phylogenetic inference under mixed models
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Summary: MrBayes 3 performs Bayesian phylogenetic analysis combining information from different data partitions or subsets evolving under different stochastic evolutionary models. This allows the user to analyze heterogeneous data sets consisting of different data types—e.g. morphological, nucleotide, and protein—and to explore a wide variety of structured models mixing partition-unique and shared parameters. The program employs MPI to parallelize Metropolis coupling on Macintosh or UNIX clusters. Availability: http://morphbank.ebc.uu.se/mrbayes Contact: fredrik.ronquist@ebc.uu.se * To whom correspondence should be addressed.
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Complete Mitochondrial Genome and Phylogeny of Pleistocene MammothMammuthus primigenius
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Doyle, V. P., Oudemans, P. V., Rehner, S. A., & Litt, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062394 · Cited by 134
Presnell, J. S., Schnitzler, C. E., & Browne, W. E. (2015) · Genome Biology and Evolution · doi:10.1093/gbe/evv141 · Cited by 119
Metadata
- Authors
- Ronquist, F., & Huelsenbeck, J. P.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-08-12
- Volume
- 19
- Issue
- 12
- Pages
- 1572-1574
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2146058063
- Cited by
- 29,077
- References
- 0
- FWCI
- 113.34
- Type
- journal article
- Language
- en
- Open access
- bronze
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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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.