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Data from: Molecular phylogeny of the marmots (Rodentia: Sciuridae): tests of evolutionary and biogeographic hypotheses
负责人:
关键词:
Marmota;hypothesis testing;phylogenetics;cyt b
DOI:
doi:10.5061/dryad.537
摘要:
based methods. We conducted statistical tests on a suite of previously proposed hypotheses of phylogenetic relationships and biogeographic histories
Data from: Assessing parameter identifiability in phylogenetic models using Data Cloning
负责人:
关键词:
Data Cloning;Bayesian estimation in Phylogenetics;Parameter Identifiability;maximum likelihood
DOI:
doi:10.5061/dryad.rr6400b4
摘要:
ly, when applied to phylogenetic inference, DC can be used to study at least two important statistical questions: assessing identifiability of discrete parameters
Data from: Phylogeny, traits and biodiversity of a neotropical bat assemblage: close relatives show similar responses to local deforestation
负责人:
关键词:
Human impact;Mormoopidae;Vespertilionidae;biodiversity;fragmentation;bats;Phyllostomidae;phylogenetics;Thyropteridae;Modeling: ecological;species richness;Chiroptera;Ecology: landscape
DOI:
doi:10.5061/dryad.mb552
摘要:
on, and consideration of spatial scale. Taxonomic and phylogenetic diversity decreased with deforestation, and assemblages became more phylogenetically clustered. Species
Data from: Reticulate evolutionary history and extensive introgression in mosquito species revealed by phylogenetic network analysis
负责人:
关键词:
Bioinfomatics/Phyloinfomatics Genomics/Proteomics Hybridization Insects Molecular Evolution Phylogenetic Theory and Methods
DOI:
doi:10.5061/dryad.tn47c
摘要:
and introgression simultaneously, and forms the basis for statistical methods for inferring reticulate evolutionary histories. The new analysis reveal
Data from: Generalized Frequency Coding: A Method of Preparing Polymorphic Multistate Characters for Phylogenetic Analysis
负责人:
关键词:
step matrix coding;generalized frequency coding;polymorphic multistate characters;phylogenetic systematics
DOI:
doi:10.5061/dryad.646
摘要:
A new method of coding polymorphic multistate characters for phylogenetic analysis is presented. By dividing such characters into subcharacters, thei
Data from: Assessing combinability of phylogenomic data using Bayes Factors
负责人:
关键词:
Concatenation;marginal likelihood;Bayes factor;Bayes Factor calibration;phylogenetic dissonance;phylogenomics
DOI:
doi:10.5061/dryad.gt81779
摘要:
index (D) estimated for each data set. BF effectively detects phylogenetic incongruence, and provides a way to assess the statistical significance of D values. We use
Data from: Posterior predictive checks of coalescent models: P2C2M, an R package
负责人:
关键词:
Multispecies coalescent;phylogeography;species trees;posterior predictive simulation
DOI:
doi:10.5061/dryad.n715n
摘要:
power compared to previous implementations of this approach. When probabilistic summary statistics are used, P2C2M corroborates the assumption that genealog
Data from: Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals
负责人:
关键词:
phylogenetics;sequential Monte Carlo;Online Inference;Bayesian inference
DOI:
doi:10.5061/dryad.n7n85
摘要:
Modern infectious disease outbreak surveillance produces continuous streams of sequence data which require phylogenetic analysis as data arrives
Data from: Accurate inference of tree topologies from multiple sequence alignments using deep learning
负责人:
关键词:
Supervised Machine Learning;convolutional neuronal network;phylogenetics
DOI:
doi:10.5061/dryad.ct2895s
摘要:
to reconstruct phylogenetic trees, each with their own strengths and weaknesses. Both simulation and empirical studies have identified several “zone
Data from: Computational performance and statistical accuracy of *BEAST and comparisons with other methods
负责人:
关键词:
Concatenation;Bayesian phylogenetics;Gene tree;Primates;Species tree;Pedicularis;Multispecies coalescent;Supermatrix;phylogenomics
DOI:
doi:10.5061/dryad.02tf9
摘要:
but computationally intensive, so the increasing size of phylogenetic data sets is both a computational challenge and an opportunity for better systematics. Usi

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