Nature in Silico
portes grátis
Nature in Silico
Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R
Haasl, Ryan J.
Springer Nature Switzerland AG
09/2022
313
Dura
Inglês
9783030973803
15 a 20 dias
664
Descrição não disponível.
Introduction and relevance.- Retrospective and prospective simulation.- Data structures and computational efficiency.- Mutation.- Population size and genetic drift.- Migration and population structure.- Meiotic recombination.- Natural selection.- Implementing all five factors simultaneously.- Modeling different life histories.- Spatially-explicit simulation.- Calculating summary statistics and visualization.- Approximate Bayesian computation: preliminaries.- Approximate Bayesian computation: implementation.- Comparing simulated genetic data to 1000 Genomes data.- The spread of the invasive species Japanese hops in the Upper Midwest, USA.
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Population genetics;Population genomics;Ecological genetics;Simulation-based inference;Spatially?]explicit simulation;Approximate Bayesian computation;Landscape genetics
Introduction and relevance.- Retrospective and prospective simulation.- Data structures and computational efficiency.- Mutation.- Population size and genetic drift.- Migration and population structure.- Meiotic recombination.- Natural selection.- Implementing all five factors simultaneously.- Modeling different life histories.- Spatially-explicit simulation.- Calculating summary statistics and visualization.- Approximate Bayesian computation: preliminaries.- Approximate Bayesian computation: implementation.- Comparing simulated genetic data to 1000 Genomes data.- The spread of the invasive species Japanese hops in the Upper Midwest, USA.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.