The author, an expert bioinformatics researcher, first addresses the ways of storing and retrieving the enormous amount of biological data produced every day and the methods of decrypting the information encoded by a genome. She then covers the tools that can detect and exploit the evolutionary and functional relationships among biological elements. Subsequent chapters illustrate how to predict the three-dimensional structure of a protein. The book concludes with a discussion of the future of bioinformatics.
Even though the future will undoubtedly offer new tools for tackling problems, most of the fundamental aspects of bioinformatics will not change. This resource provides the essential information to understand bioinformatics methods, ultimately facilitating in the solution of biological problems.
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“... Overall, the book is well organized and clearly written. This book is a good mixture of theory and practical applications. ... graduate and research students of biostatistics who want to pursue a career in experimental biology will enjoy this book. In addition, practitioners in cancer research and forensic science will find this book quite useful. I also recommend it for library purchase.”
―Kuldeep Kumar (Bond University), Journal of the Royal Statistical Society
"...Introduction to Bioinformatics serves a noble purpose ... Tramontano’s added emphasis on proteomics should serve as an indication of a major current focus of bioinformatics and also to welcome Introduction to Bioinformatics into the canon of bioinformatics-related literature."
―Eric D. Foster, University of Iowa, The American Statistician, August 2008
"This book provides a nice summary of introductory topics in bioinformatics, suitable for higher-level undergraduates with some biological background looking to enter the field or masters-level graduate students. ... the subject matter is informative and well written for an introductory book."
―International Statistical Review, 2008
“By reading the book from cover to cover, the reader will acquire a sense of the richness of the field of bioinformatics.”
―Jonathan Hodgson, Zentralblatt Math, Vol. 1115 (2007/17)
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