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Introduction to Bioinformatics: Chapman & Hall/CRC Computational Biology Series

Autor Anna Tramontano
en Limba Engleză Paperback – 6 dec 2006
Guiding readers from the elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular function, Introduction to Bioinformatics describes the rationale and limitations of the bioinformatics methods and tools that can help solve biological problems. Requiring only a limited mathematical and statistical background, the book shows how to efficiently apply these approaches to biological data and evaluate the resulting information. 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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Specificații

ISBN-13: 9781584885696
ISBN-10: 1584885696
Pagini: 192
Ilustrații: 68 b/w images, 8 color images, 7 tables, 5 halftones and 22 equations
Dimensiuni: 156 x 234 x 10 mm
Greutate: 0.36 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Computational Biology Series


Public țintă

Undergraduate

Cuprins

The Data: Storage and Retrieval. Genome Sequence Analysis. Protein Evolution. Similarity Searches in Databases. Amino Acid Sequence Analysis. Prediction of the Three-Dimensional Structure of a Protein. Homology Modeling. Fold Recognition Methods. New Fold Modeling. The “Omics” Universe.

Recenzii

“… 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)

Descriere

From the elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular function, Introduction to Bioinformatics describes the rationale and limitations of the bioinformatics methods and tools that can help solve biological problems. The author addresses the ways to store and retrieve biological data, decrypt information encoded by genomes, and detect and exploit the evolutionary and functional relationships among biological elements. The book also includes material on proteomics that is not found in any other basic bioinformatics textbook. It concludes with a discussion of the future of bioinformatics.