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| View Larger Image | Probability Models for DNA Sequence Evolution (Probability and its Applications)
by Richard Durrett
| | List Price: | $84.95 | | Price: | $67.96 | | You Save: | $16.99 (20%) |  | | Available: | Usually ships in 24 hours | | | | | Sales Rank: | 877255 | | Studio: | Springer | | | Binding: | Hardcover | | Number Of Pages: | 432 | | Publication Date: | August 12, 2008 | | Publisher: | Springer |
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EDITORIAL REVIEWS |
Product Description
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. |
CUSTOMER REVIEWS (Average Customer Rating: 5.0 based on 2 reviews)
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genetics through probability 
Rick Durrett was a graduate student in operations research at Stanford. Rick was Iglehart's prize student and was even then predicted to surpass Iglehart in his achievements.
Rick has been an academic his entire career and has made major contributions in applied probability. He also explains things in very intuitive ways and has thus been able to publish a number of successful books on various aspects of probability theory and stochastic processes.
In this book Rick presents a variety of probability models to explain the evolution of DNA sequences that are found in humans. This represents an interesting and important area of research that has tremendous impact on medical treatments, pharmaceuticals and genetic engineering. Most of all it has the rigorous touch that Rick always gives to his work.
As with Rick's other books this is a highly technical book and a knwoedge of the basics of probability at the measure theoretical level is needed ot really appreciate the contents of this excellent text.
January 22, 2008 | |
complicated genetics explained through probability
Rick Durrett was a graduate student in operations research at Stanford. Rick was Iglehart's prize student and was even then predicted to surpass Iglehart in his achievements.Rick has been an academic his entire career and has made major contributions in applied probability. He also explains things in very intuitive ways and has thus been able to publish a number of successful books on various aspects of probability theory and stochastic processes. In this book Rick presents a variety of probability models to explain the evolution of DNA sequences that are found in humans. This represents an interesting and important area of research that has tremendous impact on medical treatments, pharmaceuticals and genetic engineering. Most of all it has the rigorous touch that Rick always gives to his work.
August 30, 2002 | |
SIMILAR PRODUCTS |
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