Andere Kunden interessierten sich auch für
![Bioinformatics Research and Applications]( "Bioinformatics Research and Applications")
Bioinformatics Research and Applications43,99 €![Bioinformatics and Computational Biology]( "Bioinformatics and Computational Biology")
Bioinformatics and Computational Biology42,99 €![Research in Computational Molecular Biology]( "Research in Computational Molecular Biology")
Research in Computational Molecular Biology37,99 €![Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry]( "Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry")
Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry42,99 €![Bioinformatics Research and Applications]( "Bioinformatics Research and Applications")
Bioinformatics Research and Applications37,99 €![Statistical Methods in Bioinformatics]( "Statistical Methods in Bioinformatics")
Statistical Methods in Bioinformatics66,99 €![Computational Genome Analysis]( "Computational Genome Analysis")
Computational Genome Analysis48,99 €
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.
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.
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)
"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)