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Probability Models for DNA Sequence Evolution by Richard Durrett: New
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eBay item number:363487827185
Item specifics
- Condition
- Book Title
- Probability Models for DNA Sequence Evolution
- Publication Date
- 2008-08-12
- Edition Number
- 2
- Pages
- 431
- ISBN
- 9780387781686
- Publication Name
- Probability Models for D N A Sequence Evolution
- Item Length
- 9.3in
- Publisher
- Springer New York
- Publication Year
- 2008
- Series
- Probability and Its Applications Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.4in
- Item Width
- 6.1in
- Item Weight
- 30.7 Oz
- Number of Pages
- Xii, 431 Pages
About this product
Product Information
Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability? To approach this question we introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model, and the infinite sites model. We study the complications that come from nonconstant population size, recombination, population subdivision, and three forms of natural selection: directional selection, balancing selection, and background selection. These theoretical results set the stage for the investigation of various statistical tests to detect departures from "neutral evolution." The final chapter studies the evolution of whole genomes by chromosomal inversions, reciprocal translocations, and genome duplication. Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. We assume no previous knowledge of concepts from biology and only a basic knowledge of probability: a one semester undergraduate course and some familiarity with Markov chains and Poisson processes. 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 score.
Product Identifiers
Publisher
Springer New York
ISBN-10
0387781684
ISBN-13
9780387781686
eBay Product ID (ePID)
65975969
Product Key Features
Publication Name
Probability Models for D N A Sequence Evolution
Format
Hardcover
Language
English
Publication Year
2008
Series
Probability and Its Applications Ser.
Type
Textbook
Number of Pages
Xii, 431 Pages
Dimensions
Item Length
9.3in
Item Height
0.4in
Item Width
6.1in
Item Weight
30.7 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Qa273.A1-274.9
Edition Number
2
Reviews
From the first edition:This book serves as an introduction to, and a compilation of, results in the new and growing field of probability theory for DNA evolution. The author is a probabilist, but he has made an effort to appeal to biologists and mathematicians alike. Biologists will find in this book those methods used for studying DNA variability that go beyond straightforward applications of statistics and require genuine mathematical insight into the underlying mechanisms. The example data are real and the driving motivation is to understand these truthfully. Mathematicians will find in this book not an attempt to develop some abstract theory, but rather a kaleidoscopic collection of ideas and methods invented to attack a common problem. The emphasis is on catching the main ideas in down-to-earth calculations; continuum models and more sophisticated methods from analysis are avoided. The book starts with the Wright-Fisher model for neutral selection in a constant population, and then builds and varies on this in Chapters 1--3 by adding the effects of mutation, recombination, selection, nonconstant population sizes and spatial structure. Chapter 4 is devoted to statistical tests for detecting departures from the neutral model and Chapter 5 discusses the large-scale structure of the DNA such as the size and number of chromosomes, inversions, translocations and duplications. This book will serve as a useful guide to this new and exciting field and an inspiration even for the more experienced readers.--Mathematical Reviews"With numerous interspersed example datasets from the primary literature, this book offers a brief introduction to models of both long-term and short-termDNA sequence evolution, with emphasis on the lattera ]Diverse audiences will find much of the value in this concise book. The authora (TM)s rigor and ability to embed material in a broader mathematical context will appeal to quantitative readers with little background in biologya ]The booka (TM)s strength is in its mathematical content, which revives almost-forgotten theorems, includes new proofs, and is thorough but not overwhelmingly detailed or overburdened with notation."Journal of the American Statistical Association, June 2004
Table of Content
Basic Models.- Estimation and Hypothesis Testing.- Recombination.- Population Complications.- Stepping Stone Model.- Natural Selection.- Diffusion Processes.- Multidimensional Diffusions.- Genome Rearrangement.
Copyright Date
2008
Topic
Life Sciences / Cell Biology, Life Sciences / Biochemistry, Probability & Statistics / General, Life Sciences / Evolution, Life Sciences / Genetics & Genomics, Life Sciences / Biology
Dewey Decimal
572.8380727
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Science, Mathematics
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eBay item number:363487827185
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The book arrived in a plastic envelope with not protection and unfortunately it looked like the book was damaged in transit because of it. The items original ETA was April 18th but arrived on April 22nd. I requested a refund after seeing the quality of the book and the seller responded with a full refund and an apology for the quality. I really appreciated the customer service but was sad to see the book not in the quality described.
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