Part 1: Background Basics
1. The Nucleic Acid World
2. Protein Structure
3. Dealing with Databases
Part 2: Sequence Alignments 4. Producing and
Analyzing Sequence Alignments
5. Pairwise Sequence Alignment and Database Searching
6. Patterns, Profiles, and Multiple Alignments
Part 3: Evolutionary Processes 7. Recovering
Evolutionary History
8. Building Phylogenetic Trees
Part 4: Genome Characteristics 9. Revealing Genome
Features
10. Gene Detection and Genome Annotation
Part 5: Secondary Structures 11. Obtaining
Secondary Structure from Sequence
12. Predicting Secondary Structures
Part 6: Tertiary Structures 13. Modeling Protein
Structure
14. Analyzing Structure-Function Relationships
Part 7: Cells and Organisms 15. Proteome and
Gene Expression Analysis
16. Clustering Methods and Statistics
17. Systems Biology
Appendices: Background Theory
Appendix A. Probability, Information, and Bayesian Analysis
Appendix B. Molecular Energy Functions
Appendix C. Function Optimization
Marketa Zvelebil is the team leader of cancer informatics at The Breakthrough Toby Robins Breast Cancer Research Centre. Jeremy O. Baum is an Honorary Teaching Fellow in the School of Crystallography, Birkbeck College.
'Congratulations on a fine book! I do not think I have seen such a comprehensive text on bioinformatics algorithms and techniques before. I think this will be an invaluable resource for the bioinformatics community and researchers of neighbouring disciplines.' - Jaap Heringa, Free University, Amsterdam 'This is very well done. Compared to other competing textbooks, your book will be probably the first one that explains gene finding in detail.' - Sun Kim, Indiana University, Bloomington, USA '!provides an outstanding introduction to the main bioinformatics problems and tools, well-balanced between applications to biological problems and theory behind data processing methods! an excellent and updated book for students of Bioinformatics' Computer Methods and Programs in Biomedicine
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