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Data from: Robustness to divergence time underestimation when inferring species trees from estimated gene trees
负责人:
关键词:
Robinson-Foulds;false negative;statistical consistency;maximum likelihood;Bayesian;phylogenetics;false positive
DOI:
doi:10.5061/dryad.65tn4
摘要:
employing coalescent times typically performed better using Bayesian gene trees, with MP-EST, STAR, STEAC, and STELLS outperforming STEM under most conditi
Data from: Recent population decline and selection shape diversity of taxol-related genes
负责人:
关键词:
conservation genetics;Taxus baccata;Adaptation;Gymnosperms;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.4j7q3s0t
摘要:
found that while a recent reduction in population size may explain most of statistics’ values, selection may still be in action in genes TBT and DBA
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: Bayesian inference of selection in a heterogeneous environment from genetic time-series data
负责人:
关键词:
Natural Selection and Contemporary Evolution;Ecological Genetics;Adaptation;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.14853
摘要:
this research program has been somewhat successful, most statistical methods employed were designed to detect consistent, weak to moderate selection. In contrast
Data from: Pathogen growth in insect hosts: inferring the importance of different mechanisms using stochastic models and response time data
负责人:
关键词:
baculovirus;Ecology: theoretical;Within-host model;Lymantria dispar nucleopolyhedrovirus;Demographic Stochasticity;Lymantria dispar
DOI:
doi:10.5061/dryad.04vh7
摘要:
pathogen growth. By using Bayesian statistical techniques and formal model-selection procedures, we are able to show that the response time of the gypsy moth
Data from: Challenges in analysis and interpretation of microsatellite data for population genetic studies
负责人:
关键词:
population genetics;data analysis;population structure;microsatellite
DOI:
doi:10.5061/dryad.j6567
摘要:
) statistics and Bayesian clustering algorithms and find that the former can be confusing and problematic for microsatellites and that the latter ma
Data from: Inferring the geographic origin of a range expansion: latitudinal and longitudinal coordinates inferred from genomic data in an ABC
负责人:
关键词:
Last Glacial Maximum;range expansion;ABC;niche modeling;?-statistics;expansion origin;Ochotona collaris
DOI:
doi:10.5061/dryad.4s1gg
摘要:
the geographic origin of range expansion using a spatially explicit coalescent model and an Approximate Bayesian Computation testing framework. In addition to assessi
Data from: Comparing G: multivariate analysis of genetic variation in multiple populations
负责人:
关键词:
Bayesian;MCMC;tensor;genetic variance;G-matrix
DOI:
doi:10.5061/dryad.g860v
摘要:
experimental designs, difficulties with determining statistical confidence in inferred differences and an inherently pair-wise focus. Here, we present a cohesive and ge
lizard (Plestiodon latiscutatus)
负责人:
关键词:
comparative analysis;independent contrasts;Plestiodon japonicus;Bayesian;Skink;Squamata;phylogenetic ANOVA;Island Biogeography;Plestiodon latiscutatus;phylogeography;Pleistocene
DOI:
doi:10.5061/dryad.v47s1
摘要:
and found 1) statistically significant support for the of different suites of phenotypic and life history characteristics with the presence of bird-only or bird + snake
Data from: Inferring the origin of populations introduced from a genetically structured native range by approximate Bayesian computation: case study
负责人:
关键词:
insects;Harmonia axyridis;hybridization;invasive species;Ecological Genetics;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.7m0b37bn
摘要:
the genetic structure of the invasive ladybird Harmonia axyridis in its native area using various population genetic statistics and methods. We found tha

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