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Book Summary: Genetic variation within and between species is jointly determined by the actions of selection, demography, and stochastic processes. A major goal of population genetics has been to infer with what relative strength these processes act in natural populations using a combination of empirical studies and explicit theoretical models. Historically most work in the field has involved single or small numbers of loci, but the current growth in genomic-scale polymorphism data has begun to provide our first glimpses at population level variation at the genome. It is clear that evolutionary inference in the coming years will become less and less data-limited within model systems, but instead will require novel means of analysis to make sense of the flood of information. While much of population genetic analysis provides more than adequate power for single locus questions, the coming challenge will be to expand our arsenal of inferential tools to adequately describe large-scale polymorphism datasets. Much of my graduate research has been aimed at developing the empirical, computational, and statistical tools necessary for studying genomic variation in an evolutionary framework. |
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