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Cambridge University Press 1997-05-28 1 Hardcover Good 0521585198.

E-029: Cambridge University Press. Very Good. Date: 1997. Hardcover. Hardcover. 8vo. Cambridge University Press, Cambridge, UK. 1999. 556 pgs. Illustrated throughout. Reprint. Bound in illustrated paper covered boards with titles present to the spine and front board. Boards have light shelf-wear present to the extremities. No ownership marks present. Text is clean and free of marks. Binding tight and solid. 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. E-029; 10.1 X 7.2 X 1.3 inches; 556 pages . 1997. Cambridge University Press ISBN 0521585198 9780521585194 [US]

Cambridge University Press, Date: 1997-05-28. Hardcover. New. New. In shrink wrap. Looks like an interesting title! 1997. Cambridge University Press ISBN 0521585198 9780521585194 [US]

Cambridge Univ Pr, Date: 1997. Hardcover. New. 1st edition. 534 pages. 10.75x7.25x1.50 inches. 1997. Cambridge Univ Pr ISBN 0521585198 9780521585194 [GB]

Cambridge University Press CUP , pp. 556 . Hardback. New. Cambridge University Press CUP ISBN 0521585198 9780521585194 [US]

ISBN10: 0521585198, ISBN13: 9780521585194, [publisher: Cambridge University Press] Hardcover Druck auf Anfrage Neuware - Printed after ordering - String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This book is a general text on computer algorithms for string processing. In addition to pure computer science, the book contains extensive discussions on biological problems that are cast as string problems, and on methods developed to solve them. It emphasises 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. Its discussion of current algorithms and techniques also makes it a reference for professionals.
[Einbeck, Germany] [Publication Year: ...
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ISBN10: 0521585198, ISBN13: 9780521585194, [publisher: Cambridge University Press] Hardcover Druck auf Anfrage Neuware - Printed after ordering - String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This book is a general text on computer algorithms for string processing. In addition to pure computer science, the book contains extensive discussions on biological problems that are cast as string problems, and on methods developed to solve them. It emphasises 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. Its discussion of current algorithms and techniques also makes it a reference for professionals.
[Einbeck, Germany] [Publication Year: ...
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