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Introduction to Bioinformatics Algorithms

ISBN-10: 0262101068
ISBN-13: 9780262101066
Edition: 2004
List price: $68.00 Buy it from $18.25
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Description: 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  More...

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Book details

List price: $68.00
Copyright year: 2004
Publisher: MIT Press
Publication date: 8/6/2004
Binding: Hardcover
Pages: 456
Size: 7.50" wide x 9.50" long x 1.25" tall
Weight: 2.024
Language: English

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. The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithmsis one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable. PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.

Preface
Introduction
Algorithms and Complexity
Molecular Biology Primer
Exhaustive Search
Greedy Algorithms
Dynamic Programming Algorithms
Divide-and-Conquer Algorithms
Graph Algorithms
Combinatorial Pattern Matching
Clustering and Trees
Hidden Markov Models
Randomized Algorithms
Using Bioinformatics Tools
Bibliography
Index

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