Publications

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