Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology / Edition 1

Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology / Edition 1

by Dan Gusfield
ISBN-10:
0521585198
ISBN-13:
9780521585194
Pub. Date:
05/28/1997
Publisher:
Cambridge University Press
ISBN-10:
0521585198
ISBN-13:
9780521585194
Pub. Date:
05/28/1997
Publisher:
Cambridge University Press
Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology / Edition 1

Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology / Edition 1

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.

Product Details

ISBN-13: 9780521585194
Publisher: Cambridge University Press
Publication date: 05/28/1997
Edition description: New Edition
Pages: 556
Product dimensions: 7.40(w) x 10.31(h) x 1.46(d)

About the Author

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.

Table of Contents

Part I. Exact String Matching: The Fundamental String Problem: 1. Exact matching: fundamental preprocessing and first algorithms; 2. Exact matching: classical comparison-based methods; 3. Exact matching: a deeper look at classical methods; 4. Semi-numerical string matching; Part II. Suffix Trees and their Uses: 5. Introduction to suffix trees; 6. Linear time construction of suffix trees; 7. First applications of suffix trees; 8. Constant time lowest common ancestor retrieval; 9. More applications of suffix trees; Part III. Inexact Matching, Sequence Alignment and Dynamic Programming: 10. The importance of (sub)sequence comparison in molecular biology; 11. Core string edits, alignments and dynamic programming; 12. Refining core string edits and alignments; 13. Extending the core problems; 14. Multiple string comparison: the Holy Grail; 15. Sequence database and their uses: the motherlode; Part IV. Currents, Cousins and Cameos: 16. Maps, mapping, sequencing and superstrings; 17. Strings and evolutionary trees; 18. Three short topics; 19. Models of genome-level mutations.
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