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An Intoruduction to Bioinformatics Algorithms

By: Contributor(s): Material type: TextTextSeries: Computational molecular biologyPublication details: Cambridge, MA MIT Press 2004Description: xviii, 435 pages : illustrations, map ; 24 cmISBN:
  • 9788180520785
Subject(s): DDC classification:
  • 570.285 JON-I
Contents:
1. Introduction -- 2. Algorithms and complexity -- 3. Molecular biology primer -- 4. Exhaustive search -- 5. Greedy algorithms -- 6. Dynamic programming algorithms -- 7. Divide-and-conquer algorithms -- 8. Graph algorithms -- 9. Combinatorial pattern matching -- 10. Clustering and trees -- 11. Hidden Markov models -- 12. Randomized algorithms -- Using bioinformatics tools.
Summary: "This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 570.285 JON-I (Browse shelf(Opens below)) Available DCB10

1. Introduction -- 2. Algorithms and complexity -- 3. Molecular biology primer -- 4. Exhaustive search -- 5. Greedy algorithms -- 6. Dynamic programming algorithms -- 7. Divide-and-conquer algorithms -- 8. Graph algorithms -- 9. Combinatorial pattern matching -- 10. Clustering and trees -- 11. Hidden Markov models -- 12. Randomized algorithms -- Using bioinformatics tools.

"This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems.

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