Flexible Pattern Matching in Strings: Practical On-Line Search Algorithms for Texts and Biological Sequences - Hardcover

Navarro, Gonzalo; Raffinot, Mathieu

Hardcover

ISBN 10: 0521813077 ISBN 13: 9780521813075

Publisher: Cambridge University Press, 2002

Synopsis

String matching problems range from the relatively simple task of searching a single text for a string of characters to searching a database for approximate occurrences of a complex pattern. Recent years have witnessed a dramatic increase of interest in sophisticated string matching problems, especially in information retrieval and computational biology. This book presents a practical approach to string matching problems, focusing on the algorithms and implementations that perform best in practice. It covers searching for simple, multiple and extended strings, as well as regular expressions, and exact and approximate searching. It includes all the most significant new developments in complex pattern searching. The clear explanations, step-by-step examples, algorithm pseudocode, and implementation efficiency maps will enable researchers, professionals and students in bioinformatics, computer science, and software engineering to choose the most appropriate algorithms for their applications.

About this title

Review

'If you need efficient pattern matching for any kind of string then this is the only book I know that comes even close to providing you [with] the tools for the job.' The Journal of the ACCU

'I really enjoyed reading and studying this book. I am convinced it is a must-read, especially chapters 4 through 6, for anyone who is involved in the task of designing algorithms for modern string or sequence matching.' Computing Reviews

Book Description

This book presents several new string matching algorithms developed to handle the complex string problems arising from information retrieval and computational biology. The clear explanations, examples, and implementation efficiency maps will enable researchers, professionals and students in bioinformatics, computer science, and software engineering to choose the most appropriate algorithms for their applications.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2002
• Language: English
• ISBN 10: 0521813077
• ISBN 13: 9780521813075
• Binding: Hardcover
• Number of pages: 232