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

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

Algorithms on Strings, Trees, and Sequences: Computer Science and Computational
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Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology Hardback - 1997

by Gusfield, Dan

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Cambridge University Press, 1997-05-28. 1. hardcover. Good. 18.4x3.8x27.3. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology
  • Author Gusfield, Dan
  • Binding Hardback
  • Edition 1
  • Condition Used - Good
  • Pages 556
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, Cambridge
  • Publication date 1997-05-28
  • Features Maps
  • Bookseller's Inventory # ANAIS-0521585198
  • ISBN 9780521585194 / 0521585198
  • Weight 2.4 lbs (1.09 kg)
  • Dimensions 10.3 x 7.41 x 1.44 in (26.16 x 18.82 x 3.66 cm)
  • Size 18.4x3.8x27.3
  • Category Computers - General Information
  • Library of Congress subjects Computational biology, Computer algorithms
  • Library of Congress Catalogue Number 96046612
  • Dewey Decimal Code 005.73
  • Quantity available 1

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

From the publisher

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.
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