Scientific Computing, Biology - Molecular Biology, Programming - General & Miscellaneous

Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology

Name: Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology
Author: Dan Gusfield
ISBN: 9780521585194

by Dan Gusfield

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Overview

Traditionally an area of study in computer science, string algorithms have, in recent years, become an increasingly important part of biology, particularly genetics. This volume is a comprehensive look at computer algorithms for string processing. In addition to pure computer science, Gusfield adds extensive discussions on biological problems that are cast as string problems and on methods developed to solve them. This text emphasizes the fundamental ideas and techniques central to today's applications. New approaches to this complex material simplify methods that up to now have been for the specialist alone. With over 400 exercises to reinforce the material and develop additional topics, the book is suitable as a text for graduate or advanced undergraduate students in computer science, computational biology, or bio-informatics.

Synopsis

Describes a range of string problems in computer science and molecular biology and the algorithms developed to solve them.

About the Author, Dan Gusfield

Daniel M. Gusfield, Ph.D., UC Berkeley, 1980. Professor Gusfield's primary interests involve the efficiency of algorithms, particularly for problems in combinatorial optimization and graph theory. These algorithms have been applied to study data and computer security, stable matching, network flow, matroid optimization, and string/pattern matching problems. Currently, Professor Gusfield is focused on string and combinatorial problems that arise in computational biology and bioinformatics.

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Editorials

From the Publisher

"...an important summary of the state of the art in pattern matching and an indicator of the importance biological problems have assumed among many researchers. It will hopefully encourage them to question the importance of the problems they endeavor to solve." SIGACT News

"The book will be profitable both for graduate students in computer science and for biologists with a good background in programming." Mathematical Reviews

"One often encounters in this book thought-provoking quotes relating to the importance of sequence analysis...Also found in the text are interesting biological examples of sequence analysis..." Cell