This upper-level text introduces readers to the twin themes of Bioinformatics and Molecular Evolution. The bioinformatics chapters cover computational methods, biological databases, and algorithms, while the evolutionary chapters introduce population genetics and examine the evolution of DNA, phylogenetic methods, and their applications. The book focuses on the theories behind the methods of bioinformatics, avoiding the technical details linked to particular software packages. It explains important mathematical derivations and statistical tests at a level that should be accessible to biological students with perseverance. Multiple-choice 'self-tests' and longer problems at the end of each chapter help students to synthesize and absorb the material. This text will help the next generation of biologists and biochemists gain the confidence with quantitative methods and the specific vocabulary they need to interact with the statisticians, database analysts and software engineers they will encounter in their future careers. A dedicated website will contain downloadable sequences, links to web resources, all answers to self-tests, and all art in JPEG and PowerPoint formats. CONTENTS Chapter 1. Introduction Chapter 2. Nucleic Acids, Proteins, and Amino Acids Chapter 3. Molecular Evolution and Population Genetics Chapter 4. Models of Sequence Evolution Chapter 5. Information Resources for Genes and Proteins Chapter 6. Sequence Alignment Algorithms Chapter 7. Searching Sequence Databases Chapter 8. Phylogenetic Methods Chapter 9. Patterns in Protein Families Chapter 10. Probabilistic Methods and Machine Learning Chapter 11. Further Topics in Molecular Evolution and Phylogenetics Chapter 12. Genome Evolution Chapter 13. DNA Microarrays and the 'omes

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