Use population genomic data to investigate structure, gene flow, demographic history and natural selection. The workshop starts with short-read quality control, alignment and variant calling, then examines supervised and unsupervised population-structure inference and introgression. Further sessions compare coalescent, composite-likelihood and approximate Bayesian demographic models, genome-wide association and selection scans, and genotype–environment associations. Landscape-genomic exercises test isolation by distance, environmental effects and barriers to gene flow. Live online, 22–26 Febr
Can we predict the diversity of real populations? Part I: What is linked selection doing to populations?
Workshop, Multiple Speakers: Christelle Fraïsse (IST Austria/CNRS), Derek Setter (U Edinburgh), Kim Gilbert (U Lausanne/U Bern), Ivana Cvijovic (Stanford U) · Emory University
Tue, Aug 18, 2020 · 06:30 UTC
Natural selection affects not only selected alleles, but also indirectly affects all genes near selected sites on the genome. An increasing body of evidence suggests that this linked selection is an important driver of evolutionary dynamics throughout the genomes of many species, implying that we need to substantially revise our basic understanding of molecular evolution. This session brings together early-career researchers working towards a quantitative understanding of the prevalence and effects of linked selection.