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Author : Anthony William Fairbank Edwards
Publisher : Cambridge University Press
Page : 138 pages
File Size : 37,79 MB
Release : 2000-01-13
Category : Science
ISBN : 9780521775441
A definitive account of the origins of modern mathematical population genetics, first published in 2000.
Author : Anthony William Fairbank Edwards
Publisher : Cambridge University Press
Page : 127 pages
File Size : 15,72 MB
Release : 1977-02-03
Category : Science
ISBN : 9780521213257
Author : I︠U︡riĭ Ilʹich Li︠u︡bich
Publisher : Springer
Page : 400 pages
File Size : 46,54 MB
Release : 1992-03-16
Category : Mathematics
ISBN :
Very Good,No Highlights or Markup,all pages are intact.
Author : Kenneth Lange
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 27,49 MB
Release : 2012-12-06
Category : Medical
ISBN : 0387217509
Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research. This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.
Author : Daniel M. Weinreich
Publisher : MIT Press
Page : 255 pages
File Size : 41,43 MB
Release : 2023-08-29
Category : Science
ISBN : 0262372576
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
Author : A. W. F. Edwards
Publisher :
Page : 119 pages
File Size : 25,49 MB
Release : 1977
Category :
ISBN :
The genetic model; Two alleles at a single locus; Two alleles using homogeneous coordinates; Many alleles at a single locus; The special case of three alleles; An X-linked locus; Miscellaneous single-locus models.
Author : Robert J. Rosen
Publisher : Academic Press
Page : 316 pages
File Size : 49,86 MB
Release : 2013-10-22
Category : Science
ISBN : 1483272133
Foundations of Mathematical Biology, Volume 1, Subcellular Systems, provides an introduction the place of mathematical biology in relation to the other biological, physical, and organizational sciences. It discusses the use of mathematical tools and techniques to solve biological problems. The book contains four chapters and begins with a discussion of the nature of hierarchical control in living matter. This is followed by a chapter on chemical kinetics and enzyme kinetics, covering the physicomathematical principles, models, and approximations underlying transition-state theory and the unimolecular reaction. Subsequent chapters deal with quantum genetics and membrane excitability.
Author : Warren J. Ewens
Publisher : Springer Science & Business Media
Page : 448 pages
File Size : 23,27 MB
Release : 2004-01-09
Category : Science
ISBN : 9780387201917
This is the first of a planned two-volume work discussing the mathematical aspects of population genetics with an emphasis on evolutionary theory. This volume draws heavily from the author’s 1979 classic, but it has been revised and expanded to include recent topics which follow naturally from the treatment in the earlier edition, such as the theory of molecular population genetics.
Author : FOGA
Publisher : Morgan Kaufmann
Page : 343 pages
File Size : 38,77 MB
Release : 2014-06-28
Category : Mathematics
ISBN : 0080948324
Foundations of Genetic Algorithms, Volume 2 provides insight of theoretical work in genetic algorithms. This book provides a general understanding of a canonical genetic algorithm. Organized into six parts encompassing 19 chapters, this volume begins with an overview of genetic algorithms in the broader adaptive systems context. This text then reviews some results in mathematical genetics that use probability distributions to characterize the effects of recombination on multiple loci in the absence of selection. Other chapters examine the static building block hypothesis (SBBH), which is the underlying assumption used to define deception. This book discusses as well the effect of noise on the quality of convergence of genetic algorithms. The final chapter deals with the primary goal in machine learning and artificial intelligence, which is to dynamically and automatically decompose problems into simpler problems to facilitate their solution. This book is a valuable resource for theorists and genetic algorithm researchers.
Author : John H. Relethford
Publisher : John Wiley & Sons
Page : 326 pages
File Size : 27,57 MB
Release : 2012-03-27
Category : Science
ISBN : 0470464674
Introductory guide to human population genetics and microevolutionary theory Providing an introduction to mathematical population genetics, Human Population Genetics gives basic background on the mechanisms of human microevolution. This text combines mathematics, biology, and anthropology and is best suited for advanced undergraduate and graduate study. Thorough and accessible, Human Population Genetics presents concepts and methods of population genetics specific to human population study, utilizing uncomplicated mathematics like high school algebra and basic concepts of probability to explain theories central to the field. By describing changes in the frequency of genetic variants from one generation to the next, this book hones in on the mathematical basis of evolutionary theory. Human Population Genetics includes: Helpful formulae for learning ease Graphs and analogies that make basic points and relate the evolutionary process to mathematical ideas Glossary terms marked in boldface within the book the first time they appear In-text citations that act as reference points for further research Exemplary case studies Topics such as Hardy-Weinberg equilibrium, inbreeding, mutation, genetic drift, natural selection, and gene flow Human Population Genetics solidifies knowledge learned in introductory biological anthropology or biology courses and makes it applicable to genetic study. NOTE: errata for the first edition can be found at the author's website: http://employees.oneonta.edu/relethjh/HPG/errata.pdf