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The Foundations of Population Genetics

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N.º de artículo de eBay:277222577660
Última actualización el 19 jun 2025 20:47:55 H.EspVer todas las actualizacionesVer todas las actualizaciones

Características del artículo

Estado
Como nuevo: Libro en perfecto estado y poco leído. La tapa no tiene desperfectos y si procede, con ...
Artist
Weinreich, Daniel M.
ISBN
9780262047579

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Product Identifiers

Publisher
MIT Press
ISBN-10
0262047578
ISBN-13
9780262047579
eBay Product ID (ePID)
19058371454

Product Key Features

Book Title
Foundations of Population Genetics
Number of Pages
254 Pages
Language
English
Publication Year
2023
Topic
Life Sciences / Evolution, Life Sciences / Genetics & Genomics, Genetics
Illustrator
Yes
Genre
Science, Medical
Author
Daniel M. Weinreich
Format
Hardcover

Dimensions

Item Height
0.8 in
Item Weight
24.9 Oz
Item Length
10.3 in
Item Width
7.2 in

Additional Product Features

Intended Audience
Trade
LCCN
2022-055469
TitleLeading
The
Dewey Edition
23
Dewey Decimal
576.58
Table Of Content
Preface xi 1 Deterministic Single-Locus Population Genetics 1 2 Stochastic Single-Locus Population Genetics 51 3 Multilocus Population Genetics 115 4 The Data 175 References 219 Index 231
Synopsis
An accessible but rigorous treatment of the theoretical foundations of population genetics. Population genetics-the branch of evolutionary biology concerned with understanding how and why populations' genetic compositions change over time-rests on a well-developed theoretical foundation that draws on genetics, mathematics, and computer science. This textbook provides an approachable but rigorous treatment for advanced undergraduate and graduate students interested in building a quantitative understanding of the genetics of evolution. Existing texts either assume very mathematically advanced readers, or avoid much of the underlying theory, instead focusing on current methods of data analysis. In contrast, The Foundations of Population Genetics develops the theory from first principles. Requiring only confidence in algebra, this self-contained, student-friendly book illustrates the conceptual framework, terminology, and methods of mathematical modeling. It progressively introduces concepts from genetics as needed, while emphasizing biological implications throughout. As a result, readers come away with a deep understanding of the structure of population genetics without needing to master its mathematics. Connects theory with the most recent genetic data better than existing texts Features engaging real-world examples and extensive original figures Provides dozens of carefully scaffolded questions that deepen the reader's understanding of key concepts Ideal as a succinct reference for established scientists in biology, medicine, and computer science Instructor resources available, An accessible but rigorous treatment of the theoretical foundations of population genetics. Population genetics--the branch of evolutionary biology concerned with understanding how and why populations' genetic compositions change over time--rests on a well-developed theoretical foundation that draws on genetics, mathematics, and computer science. This textbook provides an approachable but rigorous treatment for advanced undergraduate and graduate students interested in building a quantitative understanding of the genetics of evolution. Existing texts either assume very mathematically advanced readers, or avoid much of the underlying theory, instead focusing on current methods of data analysis. In contrast, The Foundations of Population Genetics develops the theory from first principles. Requiring only confidence in algebra, this self-contained, student-friendly book illustrates the conceptual framework, terminology, and methods of mathematical modeling. It progressively introduces concepts from genetics as needed, while emphasizing biological implications throughout. As a result, readers come away with a deep understanding of the structure of population genetics without needing to master its mathematics. Connects theory with the most recent genetic data better than existing texts Features engaging real-world examples and extensive original figures Provides dozens of carefully scaffolded questions that deepen the reader's understanding of key concepts Ideal as a succinct reference for established scientists in biology, medicine, and computer science Instructor resources available
LC Classification Number
QH455.W45 2023

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