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Academic & Professional Books  Reference  Data Analysis & Modelling  Bioinformatics

Bioinformatics: Sequence and Genome Analysis

By: David W Mount
564 pages, Col photos, figs, tabs
Bioinformatics: Sequence and Genome Analysis
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  • Bioinformatics: Sequence and Genome Analysis ISBN: 9780879696870 Edition: 2 Hardback Aug 2004 Out of Print #144269
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About this book

The application of computational methods to DNA and protein science is a new and exciting development in biology and this is a comprehensive introduction to this emerging field of study. It is written for any biologist who wants to understand methods of sequence and structure analysis and how the necessary computer programs work. Sequence alignment, structure prediction, phylogenetic and gene prediction, database searching and genome analysis are clearly explained and amply illustrated. The second edition contains new chapters on statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining.


Preface Chapter 1 Historical Introduction and Overview Chapter 2 Collecting and Storing Sequences in the Laboratory Chapter 3 Alignment of Pairs of Sequences Chapter 4 Statistical Analysis of Sequence Alignments Chapter 5 Multiple Sequence Alignment Chapter 6 Database Searching for Similar Sequences Chapter 7 Phylogenetic Prediction Chapter 8 Prediction of RNA Secondary Structure Chapter 9 Gene Prediction Chapter 10 Protein Classification and Structure Prediction. Chapter 11 Genome Analysis Chapter 12 Computer Programming for Bioinformatics Chapter 13 Data Management and Mining for Biology, Medicine, and Agriculture

Customer Reviews

By: David W Mount
564 pages, Col photos, figs, tabs
Media reviews
Bioinformatics is an excellent text for the biologist who wants to learn more about the field, and is well worth exploring by the instructor looking to tackle his or her first bioinformatics course. - Nature Genetics" " excellent textbook for bioinformatics introductory courses for both life sciences and computer science students, and a good reference for current problems in the field and the tools and methods employed in their solution." --Briefings in Bioinformatics
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