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Data from: Swapping birth and death: symmetries and transformations in phylodynamic models
负责人:
关键词:
Basel;maximum likelihood;phylogenetics;Bayesian inference;Phylodynamics;birth-death models;algebraic symmetries;speciation-extinction models
DOI:
doi:10.5061/dryad.57704ft
摘要:
Stochastic birth--death models provide the foundation for studying and simulating evolutionary trees in phylodynamics. A curious feature of suc
Data from: Infectious disease dynamics inferred from genetic data via sequential Monte Carlo
负责人:
关键词:
sequential Monte Carlo;HIV;maximum likelihood;Virus evolution;Phylodynamics;iterated filtering
DOI:
doi:10.5061/dryad.3634m
摘要:
epidemiological observations. Most currently available methods first estimate phylogenetic trees from sequence data, then estimate a transmission model conditi
Data from: Weak phylogenetic signal in physiological traits of methane-oxidizing bacteria
负责人:
关键词:
Modeling Traits Phylogenomics Methane oxidation Horizontal gene transfer Microorganisms
DOI:
doi:10.5061/dryad.6f27f
摘要:
e built from the 16S rRNA gene, a common phylogenetic marker, and the pmoA gene which encodes a subunit of the key enzyme involved in the first step
Data from: Humidity levels drive reproductive modes and phylogenetic diversity of amphibians in the Brazilian Atlantic Forest
负责人:
关键词:
Anura;precipitation;conservation biogeography;biodiversity;Amphibian diversity;Amphibia;humidity;Anurans
DOI:
doi:10.5061/dryad.6764jd6d
摘要:
re different modes of reproduction than drier sites and will consequently exhibit a higher phylogenetic diversity. Furthermore, we predict that if ther
Data from: Characterizing and comparing phylogenetic trait data from their normalized Laplacian spectrum
负责人:
关键词:
Traits;Primates;Macroevolution;phylogenetics;graph Laplacian;tanagers
DOI:
doi:10.5061/dryad.6fh81vd
摘要:
the spectral density profile of trait data on a phylogenetic tree from the normalized graph Laplacian. We demonstrate on simulated data the uti
Data from: Posterior predictive Bayesian phylogenetic model selection
负责人:
关键词:
posterior predictive;Bayesian;model selection;phylogenetics;L-measure;conditional predictive ordinate;log pseudomarginal likelihood
DOI:
doi:10.5061/dryad.6b7c1
摘要:
and CPO add new perspectives to Bayesian phylogenetic model selection based on the predictive abilities of models, and complement the perspective provided
Data from: A method for assessing phylogenetic least squares models for shape and other high-dimensional multivariate data
负责人:
关键词:
Plethodon
DOI:
doi:10.5061/dryad.36df0
摘要:
the biological hypotheses they wish to examine. In this article, I propose a new statistical procedure for performing ANOVA and regression models in a phylogenetic
Data from: Trait evolution and historical biogeography shape assemblages of annual killifish
负责人:
关键词:
community phylogenetics;trait evolution;Biogeography;Body Size;phylogenetics;Cyprinodontiformes;Austrolebias;annual killifish;selection regime
DOI:
doi:10.5061/dryad.zcrjdfn7v
摘要:
yA">Methods: We sampled 63 individuals from 26 Austrolebias species. Using phylogenetic trees (BEAST2), data on environmental variables
Data from: Including fossils in phylogenetic climate reconstructions: a deep time perspective on the climatic niche evolution and diversificati
负责人:
关键词:
climate change;Macroevolution;Phylogenetics: comparative;Biogeography;Miocene;Pliocene;Holocene;Methods: computer simulations;Paleontology;lizards;Pleistocene;Sceloporus
DOI:
doi:10.5061/dryad.69fc0
摘要:
, and phylogenetic comparative methods provides a geographically and temporally explicit species distribution model of Sceloporus-suitable habitat through time. We provide evidence
Data from: Pan-genome and phylogeny of Bacillus cereus sensu lato
负责人:
关键词:
Bayesian model-based clustering;Bacillus cereus group;Bacillus cereus;Bacillus cereus sensu lato;Pan-genome;phylogenetic clustering;Bacillus;phylogenetics;Pan-GWAS;phylogeny
DOI:
doi:10.5061/dryad.dm82j
摘要:
of gene models that were used in turn to construct phylogenetic data matrices. Phylogenetic analyses used RAxML, DendroPy, ClonalFrameML, PAUP

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