C. Alex Buerkle

The paper evaluates nine methods for variable selection and prediction in high-dimensional ecological and evolutionary data, finding that overfitting is common but prediction accuracy improves with more observations and stronger effects.

The paper examines hybridization and color polymorphism in Colias butterflies over five years, finding hybrid ancestry correlates with intermediate phenotypes but not exclusively.

The paper introduces an R package bgchm for analyzing hybrid zones, enabling accurate quantification of introgression variation using hierarchical Bayesian methods.

This study evaluates how perturbations in haplotype reference panels affect genotype imputation accuracy, finding that phase and genotype errors have a greater impact than variant density.

The paper shows that additive genetic effects from both plants and caterpillars determine the outcome of herbivory on alfalfa, with plant phytochemicals playing a key role.

The paper extends a Bayesian model to estimate genotype and ancestry in autopolyploid and mixed-ploidy individuals using low-depth sequencing data.

This study shows that Dirichlet-multinomial modelling outperforms other methods in detecting differences in relative abundances in ecological count data, with HMC providing the most accurate results.

The paper evaluates de novo assembly accuracy for double-digest libraries using six software tools on simulated data from Arabidopsis thaliana and Homo sapiens, finding substantial variation in performance.