From: Michael Spano
Date: 12 Nov 2001
Subject: New Book: Statistical Methods in Bioinformatics: An Introduction,
Statistical Methods in Bioinformatics: An Introduction Warren Ewens and Gregory Grant, both, University of Pennsylvania, Philadelphia, PA For more information please visit www.springer-ny.com/detail.tpl?isbn=0387952292 This book grew out of the need to teach bioinformatics to graduate students. At the same time however, it is organized to appeal to a wider audience. It should appeal to any biologist or computer scientist who wants to know more about the statistical methods of the field, as well as to a trained statistician who wishes to become involved in bioinformatics. Only a basic understanding of biological concepts is assumed, and all concepts are explained when used or can be understood from the context. This book also describes some of the main statistical applications in the field, including BLAST, gene finding, and evolutionary inference, much of which has not yet been summarized in an introductory textbook. TABLE OF CONTENTS An Introduction to Probability Theory: One Random Variable An Introduction to Probability Theory: Many Random Variables Statistics: An Introduction to Statistical Inference Stochastic Processes: An Introduction to Poisson Processes and Markov Chains The Analysis of DNA Sequence Patterns: One Sequence The Analysis of DNA Sequences: Multiple Sequences Stochastic Processes: Random Walks Statistics: Classical Estimation and Hypothesis Testing BLAST Stochastic Processes: Markov Chains Hidden Markov ModelsComputationally Intensive Methods Evolutionary Models Phylogenetica Tree Estimation 2001/400 PP./HARDCOVER/$79.95/ISBN 0-387-95229-2
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