This open access volume presents state-of-the-art inference methods
in population genomics, focusing on data analysis based on rigorous
statistical techniques. After introducing general concepts related
to the biology of genomes and their evolution, the book covers
state-of-the-art methods for the analysis of genomes in
populations, including demography inference, population structure
analysis and detection of selection, using both model-based
inference and simulation procedures. Last but not least, it offers
an overview of the current knowledge acquired by applying such
methods to a large variety of eukaryotic organisms. Written in the
highly successful Methods in Molecular Biology series format,
chapters include introductions to their respective topics, pointers
to the relevant literature, step-by-step, readily reproducible
laboratory protocols, and tips on troubleshooting and avoiding
known pitfalls. Authoritative and cutting-edge, Statistical
Population Genomics aims to promote and ensure successful
applications of population genomic methods to an increasing number
of model systems and biological questions.
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