Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis takes the novel approach of covering both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective.

Features:

• Provides a comprehensive introduction to the analysis of protein sequences and structures.
• Provides an integrated presentation of methodology, examples, exercises and applications.
• Emphasises the algorithmic rather than mathematical aspects of the methods described.
• Covers comparison and alignment of protein sequences and structures as well as protein structure prediction focusing
• on threading approaches.
• Written in an accessible yet rigorous style, suitable for biologists, mathematicians and computer scientists alike.
• Suitable both for developers and users of bioinformatics tools.
• Supported by a Web site featuring exercises, solutions, images, and computer programs

Protein Bioinformatics: An Algorithmic Approach to Sequence and Structure Analysis is ideally suited for advanced undergraduate and graduate students of bioinformatics, statistics, mathematics and computer science. It also provides an excellent introduction and reference source on the subject for practitioners and researchers.

Contents

1. Sequence Analysis
   1. Pairwise Global Alignment of Sequences
   2. Pairwise Local Alignment and Database Search
   3. Statistical Analysis
   4. Multiple Global Alignment and Phylogenetic Trees
   5. Scoring Matrices
   6. Profiles
   7. Sequence Patterns

2. Structure Analysis
   8. Structures and Structure Descriptions
   9. Superposition and Dynamic Programming
   10. Geometric Techniques
   11. Clustering: Combining Local Similarities
   12. Significance and Assessment of Structure Compositions
   13. Multiple Structure Comparison
   14. Protein Structure Classification

3. Sequence-Structure Analysis
   15. Structure Prediction: Threading

Appendix A: Basics in Mathematics, Probability and Algorithms
Appendix B: Introduction to Molecular Biology

Index

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