488 pages, 100 col illus, 25 col tabs
This fully revised Third Edition of a world-renowned classic provides a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. With a new full-colour, enlarged page design, this edition offers the most readable, up-to-date, and thorough introduction to the field for biologists. All new features include special boxes, enhanced use of real examples, and expanded problem sets with answers provided on the book's dedicated Web site (www.wiley.com/bioinformatics).
Chapter 1. Sequence Databases (Rolf Apweiler).
Chapter 2. Mapping Databases (Tara Matise and Peter S. White).
Chapter 3. Information Retrieval from Biological Databases (Andreas D. Baxevanis).
Chapter 4. Genomic Databases (Tyra Wolfsberg).
Chapter 5. Predictive Methods Using DNA Sequences (Roderic Guigo and Enrique Blanco).
Chapter 6. Predictive Methods Using RNA Sequences (Michael Zucker and David Mathews).
Chapter 7. Sequence Polymorphisms (James C. Mullikin and Stephen T. Sherry).
Chapter 8. Predictive Methods Using Protein Sequences (Burkhard Rost and Yanay Ofran).
Chapter 9. Protein Structure Prediction and Analysis (David Wishart).
Chapter 10. Intermolecular Interactions and Biological Pathways (Gary D. Bader and Anton J. Enright).
Chapter 11. Assessing Pairwise Sequence Similarity: BLAST and FASTA (Andreas D. Baxevanis).
Chapter 12. Creation and Analysis of Protein Multiple Sequence Alignments (Geoffrey J. Barton).
Chapter 13. Sequence Assembly and Finishing Methods (Gerard Bouffard, Nancy F. Hansen, and Pamela Jacques Thomas).
Chapter 14. Phylogenetic Analysis (Fiona S. L. Brinkman).
Chapter 15. Computational Approaches in Comparative Genomics (Andreas D. Baxevanis).
Chapter 16. Microarray Analysis (John Quackenbush)
Chapter 17. Proteomics and Protein Identification (Michael Giddings, Mark R. Holmes, and Kevin Ramkissoon).
Chapter 18. Using Perl to Facilitate Biological Analysis (Lincoln D. Stein).
...a good practical book and many will benefit from reading it. (Proteomics, No.1 2001)
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