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Bioinformatics (HC, 2007 )
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關於物品
物品細節
- 物品狀況
- 很新
- 賣家備註
- Country of Origin
- Germany
- Educational Level
- Adult & Further Education
- Level
- Advanced
- ISBN
- 9783540241669
關於產品
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3540241663
ISBN-13
9783540241669
eBay Product ID (ePID)
47040593
Product Key Features
Number of Pages
Xvii, 376 Pages
Publication Name
Bioinformatics
Language
English
Subject
Computer Science, Life Sciences / General, Life Sciences / Biology
Publication Year
2007
Type
Textbook
Subject Area
Computers, Science
Format
Hardcover
Dimensions
Item Height
0.4 in
Item Weight
26.7 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2007-924087
Dewey Edition
22
Reviews
From the reviews:"The authors present mathematical models in bioinformatics and describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. … Who is it for? Graduates and researchers who want more than just another guide on how to use databases. Presentation Clear and logical. Would you recommend it? Yes, if you are interested in the statistical and mathematical underbelly of bioinformatics." (Times Higher Education, May, 2008)"The strength of the book is its thorough survey of bioinformatics topics. … Its structuretwo parts (foundations and applications), well-classified problem areas, and a gradual approach for problem framing and solving- make it invaluable for computer scientists learning bioinformatics, or biologists applying computational methods to their fields. The book is suitable for graduate students and professionals, and can serve as a reference for state-of-the-art issues and solutions." (Cherif Keramane, ACM Computing Reviews, September, 2008)"In this comprehensive textbook, the authors present mathematical models in bioinformatics and describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. … the book closes with a thorough bibliography, reaching from classical research results to very recent findings, providing many pointers for future research. 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." (T. Postelnicu, Zentrablatt MATH, Vol. 1153, 2009), From the reviews: "The authors present mathematical models in bioinformatics and describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. ... Who is it for? Graduates and researchers who want more than just another guide on how to use databases. Presentation Clear and logical. Would you recommend it? Yes, if you are interested in the statistical and mathematical underbelly of bioinformatics." (Times Higher Education, May, 2008) "The strength of the book is its thorough survey of bioinformatics topics. ... Its structure-two parts (foundations and applications), well-classified problem areas, and a gradual approach for problem framing and solving- make it invaluable for computer scientists learning bioinformatics, or biologists applying computational methods to their fields. The book is suitable for graduate students and professionals, and can serve as a reference for state-of-the-art issues and solutions." (Cherif Keramane, ACM Computing Reviews, September, 2008) "In this comprehensive textbook, the authors present mathematical models in bioinformatics and describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. ... the book closes with a thorough bibliography, reaching from classical research results to very recent findings, providing many pointers for future research. 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." (T. Postelnicu, Zentrablatt MATH, Vol. 1153, 2009)
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
572.80285
Table Of Content
Mathematical and Computational Methods.- Probability and Statistics.- Computer Science Algorithms.- Pattern Analysis.- Optimization.- Applications.- Sequence Alignment.- Molecular Phylogenetics.- Genomics.- Proteomics.- RNA.- DNA Microarrays.- Bioinformatic Databases and Bioinformatic Internet Resources.
Synopsis
Bioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays, and new profiling techniques in proteomics. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution. In this comprehensive textbook, Polanski and Kimmel present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching 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 textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computing tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second., This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background., Bioinformatics is a discipline born of the need to introduce order into massive datasets produced by new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays and new profiling techniques in proteomics. This volume presents mathematical models in bioinformatics along with descriptions of inspiring biological problems and computer science tools necessary to cope with data. The material covered includes widely used applications in genomics and proteomics and later-generation techniques, which attempts at linking genetic information with structure and function of molecules, metabolic processes and whole cells. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories., Bioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays, and new profiling techniques in proteomics. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution. In this comprehensive textbook, Polanski and Kimmel present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching 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 focuson its mathematical and computer science background.
LC Classification Number
QA75.5-76.95
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