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.
Rezensionen / Stimmen
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)
