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

  • 4.10 out of 5 stars
    88 ratings by Goodreads
 
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Synopsis

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 produced by various genome projects. This book explains a wide range of computer methods for string processing. It also contains extensive discussions on biological problems that are cast as string problems, and on techniques to solve them. The book is both a reference for computer scientists and computer-oriented professionals in biology and bio-informatics and a textbook for graduate and advanced undergraduate courses on string algorithms and on computational biology.

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Book Description

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 produced by various genome projects. This book explains a wide range of computer methods for string processing. It also contains extensive discussions on biological problems that are cast as string problems, and on techniques to solve them. The book is both a reference for computer scientists and computer-oriented professionals in biology and bio-informatics and a textbook for graduate and advanced undergraduate courses on string algorithms and on computational biology.

Review

"...an important summary of the state of the art in pattern matching and an indicator of the importance biological problems have assumed among many researchers. It will hopefully encourage them to question the importance of the problems they endeavor to solve." SIGACT News

"The book will be profitable both for graduate students in computer science and for biologists with a good background in programming." Mathematical Reviews

"One often encounters in this book thought-provoking quotes relating to the importance of sequence analysis...Also found in the text are interesting biological examples of sequence analysis..." Cell

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  • PublisherCambridge University Press
  • Publication date2010
  • ISBN 10 0511574932
  • ISBN 13 9780511574931
  • BindingPrinted Access Code
  • LanguageEnglish
  • Rating
    • 4.10 out of 5 stars
      88 ratings by Goodreads

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ISBN 10:  0521585198 ISBN 13:  9780521585194
Publisher: Cambridge University Press, 1997
Hardcover