This open access volume presents methods that reflect current trends in the study of genomes in populations. The book presents chapters on state-of-the-art statistical models applied to a variety of organisms and questions. It covers concepts and approaches such as the ancestral recombination graph (ARG), sequentially Markovian coalescent (SMC), and hybrid simulation tools. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice needed for successful results.

Authoritative and practical, Statistical Population Genomics, Second Edition aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.