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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 456 | Sprache: Englisch | Produktart: Bücher.
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by MIT Press Ltd, Cambridge, Mass., 2004
ISBN 10: 0262101068 ISBN 13: 9780262101066
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
First Edition
Hardcover. Condition: new. 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.
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Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Add to basketCondition: New. In.
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Add to basketCondition: New. pp. xviii + 435 Illus., Map.
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First Edition
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Add to basketCondition: 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. . . . .
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Add to basketHardcover. Condition: Brand New. 1st edition. 434 pages. 9.50x7.50x1.25 inches. In Stock.
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 3 working days. 673.
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Add to basketCondition: New. pp. xviii + 435.
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. . . . . Books ship from the US and Ireland.
Published by MIT Press Ltd Aug 2004, 2004
ISBN 10: 0262101068 ISBN 13: 9780262101066
Language: English
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Add to basketBuch. Condition: Neu. Neuware - 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.
Published by Cambridge. MIT Press. 2004, 2004
Seller: Antiquariat am Flughafen, Berlin, Germany
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Add to basketHardcover. Condition: sehr gut. Hardcover. gr. 8°. xviii, 435 pages. with figures and tables within the chapters. little rubbed. good condition. Series Computational Molecular Biology". in englischer Sprache (in english).
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Add to basketCondition: New. 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 Biolog.
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Add to basketHardcover. Condition: Like New. Like New. book.
Published by MIT Press Ltd, Cambridge, Mass., 2004
ISBN 10: 0262101068 ISBN 13: 9780262101066
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
US$ 159.21
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Add to basketHardcover. Condition: new. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.