Provides a guide to the field of Bioinformatics and takes reader from first principles through to an understanding of computational techniques and algorithms. It introduces the basics of nucleic acids, proteins and databases. Its each chapter uses mind-maps and flow diagrams to give an overview of conceptual links within each topic.
Provides a guide to the field of Bioinformatics and takes reader from first principles through to an understanding of computational techniques and algorithms. It introduces the basics of nucleic acids, proteins and databases. Its each chapter uses mind-maps and flow diagrams to give an overview of conceptual links within each topic.
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.
Inhaltsangabe
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
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
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