Statistical Population Genomics
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Beschreibung
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.
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.
This book is open access, which means that you have free and unlimited access Includes cutting-edge methods and protocols Provides step-by-step detail essential for reproducible results Contains key implementation advice from the experts
Autor*in
Julien Y. Dutheil
Themen in »Statistical Population Genomics«
Open Access Whole genome sequencing (WGS) Large datasets Simulation tools BioSamples Code repositories