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Книга Nature in Silico Ryan J. Haasl

Nature in Silico

Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R

Автор: Ryan J. Haasl
Език: Английски език
Корици: С меки корици
Издател: Springer, Berlin
Наличност: Външен склад
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82.34 € 161.04 лв
Dramatic advances in computing power enable simulation of DNA sequences generated by complex microev...

Информация за книгата

Автор
Ryan J. Haasl
Език
Английски език
Корици
Книга - С меки корици
Издадена
2023
страници
313
EAN
9783030973834
Enbook ID
43858570
Издател
Springer, Berlin
Теглоt
467
Размери
155 x 235

Пълно описание

Dramatic advances in computing power enable simulation of DNA sequences generated by complex microevolutionary scenarios that include mutation, population structure, natural selection, meiotic recombination, demographic change, and explicit spatial geographies. Although retrospective, coalescent simulation is computationally efficient-and covered here-the primary focus of this book is forward-in-time simulation, which frees us to simulate a wider variety of realistic microevolutionary models. The book walks the reader through the development of a forward-in-time evolutionary simulator dubbed FORward Time simUlatioN Application (FORTUNA). The capacity of FORTUNA grows with each chapter through the addition of a new evolutionary factor to its code. Each chapter also reviews the relevant theory and links simulation results to key evolutionary insights. The book addresses visualization of results through development of R code and reference to more than 100 figures. All code discussed in the book is freely available, which the reader may use directly or modify to better suit his or her own research needs. Advanced undergraduate students, graduate students, and professional researchers will all benefit from this introduction to the increasingly important skill of population genetic simulation.