Items related to Bioinformatics: Problem Solving Paradigms
Synopsis
This book presents fundamental principles for problem analysis and algorithm design used in bioinformatics. It includes numerous cause studies from the main fields of bioinformatics, from sequencing and mapping to pseudo-knot detection.
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From the Back Cover
There are fundamental principles for problem analysis and algorithm design that are continuously used in bioinformatics. This book concentrates on a clear presentation of these principles, presenting them in a self-contained, mathematically clear and precise manner, and illustrating them with lots of case studies from main fields of bioinformatics (e.g. sequencing and mapping, string storage and manipulation, pattern matching, alignment, gene identification, genome rearrangement, structure prediction, regulatory networks, pseudoknot detection). Emphasis is laid on algorithmic "pearls" of bioinformatics, showing that things may get rather simple when taking a proper view into them. The book closes with a thorough bibliography, ranging from classic research results to very recent findings, providing many pointers for future research. Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.
This book highlights basic paradigms of problem analysis and algorithm design in the context of core bioinformatics problems. Mathematically demanding themes are put across to the reader by properly chosen representations with the aid of lots of illustrations.
(Prof. Dr. Amitava Datta, UWA, Perth, Australia)
Written by a theoretical computer scientist, the book perfectly complements standard textbooks from the point of view of problem solving methods continuously applied in bioinformatics.
(Prof. Dr. Georg Fuellen, Univ. Greifswald, Germany)
Review
From the reviews:
"Computer science (CS) and molecular biology meet in the bioinformatics field. ... this book presents a CS perspective of the problems involved and considers some of the fundamental data structures and algorithms required for solving them. ... This book is appropriate for biologists who seek an overview of ways in which a computer scientist might approach the problems involved." (Jeffrey Putnam, ACM Computing Reviews, May, 2009)
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- PublisherSpringer
- Publication date2010
- ISBN 10 364209726X
- ISBN 13 9783642097263
- BindingPaperback
- Number of pages308
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Bioinformatics: Problem Solving Paradigms by Sperschneider, Volker [Paperback ]
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -What is this book good for Imagine you are a computer scientist working in the bioinformatics area. P- bably you will be a member of a highly interdisciplinary team consisting of biologists, chemists, mathematicians, computer scientists ranging from p- grammers to algorithm engineers, and eventually people from various further elds. A major problem within such interdisciplinary teams is always to nd some common language, and, for each member of some discipline, to have profound knowledge of what are the notions, basic concepts and goals of the other participating disciplines, as well as of what they can contribute to the solutionofonesownproblems. Thisdoes,ofcourse,notmeanthatacomputer scientist should do the job of the biologist. Nevertheless, a computer scientist should be able to understand what a biologist deals with. On the other hand, the biologist should not do the computer scientists job, but should know what computer science and algorithm engineering might contribute to the solution of her/his problems, and also how problems should be stated in order for the computer scientist to understand them. This book primarily aims to show the potential that algorithm engin- ring o ers for the solution of core bioinformatics problems. 308 pp. Englisch. Seller Inventory # 9783642097263
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Bioinformatics : Problem Solving Paradigms
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - What is this book good for Imagine you are a computer scientist working in the bioinformatics area. P- bably you will be a member of a highly interdisciplinary team consisting of biologists, chemists, mathematicians, computer scientists ranging from p- grammers to algorithm engineers, and eventually people from various further elds. A major problem within such interdisciplinary teams is always to nd some common language, and, for each member of some discipline, to have profound knowledge of what are the notions, basic concepts and goals of the other participating disciplines, as well as of what they can contribute to the solutionofonesownproblems. Thisdoes,ofcourse,notmeanthatacomputer scientist should do the job of the biologist. Nevertheless, a computer scientist should be able to understand what a biologist deals with. On the other hand, the biologist should not do the computer scientists job, but should know what computer science and algorithm engineering might contribute to thesolution of her/his problems, and also how problems should be stated in order for the computer scientist to understand them. This book primarily aims to show the potential that algorithm engin- ring o ers for the solution of core bioinformatics problems. Seller Inventory # 9783642097263
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Algorithmic pearls of bioinformaticsStrong emphasis on general methods for constructing and explaining complex algorithmsWith numerous illustrations and exercises with fully worked out solutionsWhat is this book good for? Imagine yo. Seller Inventory # 5048723
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Condition: New. 2010. 1st ed. Softcover of orig. ed. 2008. Paperback. This book presents fundamental principles for problem analysis and algorithm design used in bioinformatics. It includes numerous cause studies from the main fields of bioinformatics, from sequencing and mapping to pseudo-knot detection. Num Pages: 308 pages, 208 black & white illustrations, 1 black & white tables, biography. BIC Classification: PS; UY. Category: (P) Professional & Vocational. Dimension: 234 x 155 x 19. Weight in Grams: 458. . . . . . Seller Inventory # V9783642097263
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