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

Hardback

Main Details

Title Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology
Authors and Contributors      By (author) Dan Gusfield
Physical Properties
Format:Hardback
Pages:556
Dimensions(mm): Height 262,Width 188
Category/GenreAlgorithms and data structures
ISBN/Barcode 9780521585194
ClassificationsDewey:005.1
Audience
Professional & Vocational
Illustrations 145 Line drawings, unspecified

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 28 May 1997
Publication Country United Kingdom

Description

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.

Reviews

'The readers of this book will be serious programmers, but of course anybody working in bio-computing will find the book of immense practical, scientific and commercial importance ... you should get the book, whether you want to do some string processing, fundamental computing research, or want to impress a biotech firm.' Harold Thimbleby, Times Higher Education Supplement '... could well be used as the basis for a graduate-level course, particularly as it contains over 400 exercises to reinforce presented material and to develop further topics. It is recommended most highly.' P. Gibbons, Zentralblatt fur Mathematik