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Probability Models for DNA Sequence Evolution (Probability and Its Applications)

Probability Models for DNA Sequence Evolution (Probability and Its Applications)

Probability Models for DNA Sequence Evolution (Probability and Its Applications)
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Probability Models for DNA Sequence Evolution (Probability and Its Applications) Hardback - 2008

by Durrett, Richard

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Springer, 2008-08-12. 2nd. hardcover. Used: Good. 6.25x1.00x9.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Probability Models for DNA Sequence Evolution (Probability and Its Applications)
  • Author Durrett, Richard
  • Binding Hardback
  • Edition 2nd
  • Condition Used: Good
  • Pages 431
  • Volumes 1
  • Language ENG
  • Publisher Springer, New York
  • Publication date 2008-08-12
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # SONG0387781684
  • ISBN 9780387781686 / 0387781684
  • Weight 1.65 lbs (0.75 kg)
  • Dimensions 9.3 x 6.2 x 1 in (23.62 x 15.75 x 2.54 cm)
  • Size 6.25x1.00x9.00
  • Category Mathematics
  • Library of Congress subjects Evolutionary genetics - Statistical methods, Nucleotide sequence - Statistical methods
  • Library of Congress Catalogue Number 2008929756
  • Dewey Decimal Code 576.507
  • Quantity available 1

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Reader reviews for Probability Models for DNA Sequence Evolution (Probability and Its Applications)

From the publisher

Many researchers in statistics, biology, mathematics, and computer science are working in the area of genetics. This book presents mathematical techniques for understanding sequence evolution. This book is written for mathematicians and for biologists alike. It assumes no previous knowledge of concepts from biology and only a basic knowledge of probability.

From the rear cover

How is genetic variability shaped by natural selection, demographic factors, and random genetic drift? To approach this question, we introduce and analyze a number of probability models beginning with the basics, and ending at the frontiers of current research. Throughout the book, the theory is developed in close connection with examples from the biology literature that illustrate the use of these results. Along the way, there are many numerical examples and graphs to illustrate the conclusions.

This is the second edition and is twice the size of the first one. The material on recombination and the stepping stone model have been greatly expanded, there are many results form the last five years, and two new chapters on diffusion processes develop that viewpoint. This book is written for mathematicians and for biologists alike. No previous knowledge of concepts from biology is assumed, and only a basic knowledge of probability, including some familiarity with Markov chains and Poisson processes. The book has been restructured into a large number of subsections and written in a theorem-proof style, to more clearly highlight the main results and allow readers to find the results they need and to skip the proofs if they desire.

Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. He taught in the UCLA mathematics department before coming to Cornell in 1985. He is the author of eight books and 160 research papers, most of which concern the use of probability models in genetics and ecology. He is the academic father of 39 Ph.D. students and was recently elected to the National Academy of Sciences.

About the author

Rick Durrett received his Ph.D. in operations research from Stanford University in 1976. He taught in the UCLA mathematics department before coming to Cornell in 1985. He is the author of six books and 125 research papers, and is the academic father of more than 30 Ph.D. students. His current interests are the use of probability models in genetics and ecology, and decreasing the mean and variance of his golf.
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