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

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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 proble 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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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 proble 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.

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

  1. 5 out of 5

    Valia

    Книга, немного покалеченная переводом и очень специализированная на комбинаторных методах, но в общем увлекательная.

  2. 5 out of 5

    Stirling Westrup

    If you're not doing work on matching huge gene sequences, then only the first third to half of the book will be relevant, but that portion should be required reading for all programmers, and if you are matching huge gene sequences, then this whole book is a goldmine. If you're not doing work on matching huge gene sequences, then only the first third to half of the book will be relevant, but that portion should be required reading for all programmers, and if you are matching huge gene sequences, then this whole book is a goldmine.

  3. 5 out of 5

    Michiel

    Good, but somewhat outdated overview of algorithms for processing strings for computational biology.

  4. 4 out of 5

    Alex

    Great course book!

  5. 4 out of 5

    Vladimir Chalyshev

  6. 4 out of 5

    Atul Singh

  7. 5 out of 5

    Alexander Pico

  8. 5 out of 5

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  9. 4 out of 5

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  10. 5 out of 5

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  11. 5 out of 5

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  12. 4 out of 5

    Bart Mesuere

  13. 5 out of 5

    Alejandro

  14. 5 out of 5

    Isamu Watanabe

  15. 5 out of 5

    Sjcipher

  16. 5 out of 5

    Paulo Nuin

  17. 5 out of 5

    Tom

  18. 4 out of 5

    John

  19. 5 out of 5

    Zizi Lee

  20. 5 out of 5

    Naes

  21. 4 out of 5

    Richard Ulrich

  22. 5 out of 5

    Andrei Ștefănucă

  23. 4 out of 5

    Fred Katz

  24. 5 out of 5

    Paul Harrington

  25. 5 out of 5

    Jeff

  26. 4 out of 5

    Prajnya

  27. 4 out of 5

    Kaiser

  28. 4 out of 5

    Vladimir

  29. 5 out of 5

    Fjóla

  30. 5 out of 5

    Laurenti Arnault

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