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Hardcover. An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.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 Algorithms is 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. An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780262101066
An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.
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 Algorithms is 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.
About the Author:
Neil C. Jones received his PhD from UCSD and is now a Staff Software Engineer at Google.
Pavel Pevzner is Ronald R. Taylor Professor of Computer Science at the University of California, San Diego. He is the author of Computational Molecular Biology: An Algorithmic Approach (MIT Press, 2000).
Title: An Introduction to Bioinformatics Algorithms...
Publisher: MIT Press Ltd, Cambridge, Mass.
Publication Date: 2004
Binding: Hardcover
Condition: new
Edition: 1st Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. Series: Computational Molecular Biology. Num Pages: 456 pages, 129 illus. BIC Classification: PSD; UMB. Category: (P) Professional & Vocational. Dimension: 229 x 183 x 26. Weight in Grams: 856. . 2004. 1st Edition. Hardcover. . . . . Seller Inventory # V9780262101066
Quantity: 2 available