Theories of Population Variation in Genes and Genomes 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Christiansen, Freddy Bugge 作者

譯者

2008-3 出版日期

432 頁數

$ 112.94 價格

Princeton Series in Theoretical and Computational Biology 叢書系列

9780691133676 圖書編碼

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發表於2024-09-22

Theories of Population Variation in Genes and Genomes 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Theories of Population Variation in Genes and Genomes 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Theories of Population Variation in Genes and Genomes 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Theories of Population Variation in Genes and Genomes 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Theories of Population Variation in Genes and Genomes 在線電子書圖書描述

This textbook provides an authoritative introduction to both classical and coalescent approaches to population genetics. Written for graduate students and advanced undergraduates by one of the world's leading authorities in the field, the book focuses on the theoretical background of population genetics, while emphasizing the close interplay between theory and empiricism. Traditional topics such as genetic and phenotypic variation, mutation, migration, and linkage are covered and advanced by contemporary coalescent theory, which describes the genealogy of genes in a population, ultimately connecting them to a single common ancestor. Effects of selection, particularly genomic effects, are discussed with reference to molecular genetic variation.The book is designed for students of population genetics, bioinformatics, evolutionary biology, molecular evolution, and theoretical biology - as well as biologists, molecular biologists, breeders, biomathematicians, and biostatisticians. It contains up-to-date treatment of key areas in classical and modern theoretical population genetics. It provides in-depth coverage of coalescent theory. It discusses genomic effects of selection. It gives examples from empirical population genetics. It incorporates figures, diagrams, and boxed features throughout. It includes end-of-chapter exercises. It speaks to a wide range of students in biology, bioinformatics, and biostatistics.

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