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Titlebook: Nature in Silico; Population Genetic S Ryan J. Haasl Textbook 2022 Springer Nature Switzerland AG 2022 Population genetics.Population genom

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發(fā)表于 2025-3-21 17:23:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nature in Silico
副標題Population Genetic S
編輯Ryan J. Haasl
視頻videohttp://file.papertrans.cn/663/662031/662031.mp4
概述Provides numerous coding examples throughout the book.Contains coding problems at the end of each main chapter with solutions provided for select examples online.Contains 100 figures showing summaries
圖書封面Titlebook: Nature in Silico; Population Genetic S Ryan J. Haasl Textbook 2022 Springer Nature Switzerland AG 2022 Population genetics.Population genom
描述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 discussedin 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 wi
出版日期Textbook 2022
關(guān)鍵詞Population genetics; Population genomics; Ecological genetics; Simulation‐based inference; Spatially?]ex
版次1
doihttps://doi.org/10.1007/978-3-030-97381-0
isbn_softcover978-3-030-97383-4
isbn_ebook978-3-030-97381-0
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Retrospective and Prospective Simulation,A critical competency for the evolutionary geneticist to possess is the accurate discernment of the advantages and disadvantages of prospective and retrospective simulation.
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Textbook 2022tion 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
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Mutation and Genetic Drift,s on population size. In this chapter, we focus on simulations that introduce variation by mutation and random fluctuations in allele frequencies due to finite population size. We restrict our consideration of mutation to single nucleotide variants (SNVs) resulting from point mutation of a single nucleotide.
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