Data from: The relative power of genome scans to detect local adaptation depends on sampling design and statistical method

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range expansion;spatial statistics;Landscape Genetics;Adaptation;genome scans;sampling design

DOI：

doi:10.5061/dryad.mh67v

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ch of two approaches that control for population structure: with a covariance matrix or with latent factors. We show that while the relative power of two methods

Data from: Behavioral syndromes shape evolutionary trajectories via conserved genetic architecture

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behavioral syndromes;Evolutionary Constraint;G matrix;personality;behavioral ecology

DOI：

doi:10.5061/dryad.5mkkwh730

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ors. We found that the distribution of genetic variation and genetic covariance among behavioral traits was consistent with genes and cellular mechanisms underpinning

Data from: Reproductive and post-reproductive life history of wild-caught Drosophila melanogaster under laboratory conditions

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Evolution of ageing;Life History Evolution;insects;trade-offs;Evolutionary physiology;drosophila melanogaster;Adaptation

DOI：

doi:10.5061/dryad.3q332

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e positively correlated, a pattern that might be due to genotype by environment interactions when wild flies are brought into a novel laboratory environment

Data from: Composite measures of selection can improve the signal-to-noise ratio in genome scans

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composite signals of selection;meta-analysis;genome-wide associations;minimum covariance determinant;Mahalanobis distance

DOI：

doi:10.5061/dryad.bp11m

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by the power of the univariate statistics they summarize. Since genome scans are widely used, improving inference for prioritizing candidate genes ma

Data from: pLARmEB: integration of least angle regression with empirical Bayes for multilocus genome-wide association studies

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DOI：

doi:10.5061/dryad.sk652

摘要：

with empirical Bayes to perform multilocus GWAS under polygenic background control. We used an algorithm of model transformation that whitened the covariance