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An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)

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Synopses & Reviews

Publisher Comments:

andlt;Pandgt;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.andlt;/Pandgt;

Synopsis:

An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.

Synopsis:

PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.

Synopsis:

andlt;Pandgt;An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.andlt;/Pandgt;

Synopsis:

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.

Synopsis:

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).

Product Details

ISBN:
9780262101066
Author:
Jones, Neil C.
Publisher:
The MIT Press
Author:
Pevzner, Pavel A.
Location:
Cambridge, MA
Subject:
Algorithms
Subject:
Bioinformatics
Subject:
Programming - Algorithms
Subject:
Life Sciences - Biology - Molecular Biology
Subject:
General Computers
Subject:
Biology-Molecular
Edition Description:
Includes bibliographical references (p. ).
Series:
Computational Molecular Biology An Introduction to Bioinformatics Algorithms
Series Volume:
108-426
Publication Date:
20040806
Binding:
Hardback
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
129 illus.
Pages:
456
Dimensions:
9 x 7 in
Age Level:
from 18

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Related Subjects

Business » General
Computers and Internet » Computers Reference » Bioinformatics
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » Algorithms
History and Social Science » Economics » General
Science and Mathematics » Biology » Molecular
Science and Mathematics » Mathematics » Advanced
Science and Mathematics » Mathematics » Biological Sciences

An Introduction to Bioinformatics Algorithms (Computational Molecular Biology) New Hardcover
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$83.25 In Stock
Product details 456 pages Bradford Book - English 9780262101066 Reviews:
"Synopsis" by , An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.
"Synopsis" by , PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.
"Synopsis" by , andlt;Pandgt;An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.andlt;/Pandgt;
"Synopsis" by , 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.
"Synopsis" by , 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.
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