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Books > Science & Mathematics > Biology, life sciences > Molecular biology

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Flexible Pattern Matching in Strings - Practical On-Line Search Algorithms for Texts and Biological Sequences (Paperback) Loot Price: R1,822
Discovery Miles 18 220
Flexible Pattern Matching in Strings - Practical On-Line Search Algorithms for Texts and Biological Sequences (Paperback):...

Flexible Pattern Matching in Strings - Practical On-Line Search Algorithms for Texts and Biological Sequences (Paperback)

Gonzalo Navarro, Mathieu Raffinot

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Loot Price R1,822 Discovery Miles 18 220 | Repayment Terms: R171 pm x 12*

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: July 2007
First published: October 2008
Authors: Gonzalo Navarro • Mathieu Raffinot
Dimensions: 245 x 169 x 10mm (L x W x T)
Format: Paperback - Trade
Pages: 232
ISBN-13: 978-0-521-03993-2
Categories: Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Computing & IT > Applications of computing > Pattern recognition
LSN: 0-521-03993-2
Barcode: 9780521039932

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