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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 - 2002

by Durrett, Rick

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New York: Springer, 2002. Book. Very Good. Hardcover. 1st Edition. 8vo - over 7¾ - 9¾" tall. viii, 240pp., index, biblio., figures. Minimal wear; previous owner's name inside front..
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Reader reviews for Probability Models for DNA Sequence Evolution (Probability and Its Applications)

From the publisher

As a starting point to this volume, the authors address the fundamental question What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences? In approaching this question they introduce and analyze a number of probability models: the Wright-Fisher model, the coalescent, the infinite alleles model and the infinite sites model. They then discuss 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.

First line

Before we can discuss modeling the evolution of DNA sequences, the reader needs a basic knowledge of the object being modeled.
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