In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology.
This accessible text:
- provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics
- emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students
- places bioinformatics in the context of evolutionary biology, including population genetics, molecular evolution, molecular phylogenetics, and their applications
- features end-of-chapter problems and self-tests to help students synthesize the materials and apply their understanding
- is accompanied by a dedicated website - www.blackwellpublishing.com/higgs - containing downloadable sequences, links to web resources, answers to self-test questions, and all artwork in downloadable format (artwork also available to instructors on CD-ROM).
This important textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses.
Chapter 1. Introduction: The Revolution in Biological Information.
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.
List of Web address.
""Much of bioinformatics is based on, yet too often ignores, the underlying principles of molecular evolution. This well-written book provides a description of modern bioinformatics methods while providing the biology and evolutionary theory necessary to understand how, why, and when these methods work. This is essential reading for those interested in being either a bioinformatics developer or an informed user."" Richard Goldstein, National Institute for Medical Research
""I like the text's balance; it is rigorous without being too formal, and has an accessible and broad coverage of topics from both a computer science and a biology perspective."" Mohammad Zaki, Rensselaer Polytechnic Institute
""This book nicely integrates molecular evolution and bioinformatics, two disciplines that go hand in hand, as rightfully claimed by the authors. Many bioinformatics applications are based on principles of molecular evolution, and to study molecular evolution is unthinkable nowadays without having access to the necessary tools and implementations. This is an excellent book for both undergraduate and graduate students, as well as for anyone who wants to solve problems in molecular evolution and needs to know the practicalities."" Yves Van de Peer, Ghent University, Belgium
""This book is actually fun! Fun, very educative, well organised, practical and easy to use...I wish this book had been published long ago."" The British Toxicology Society Newsletter, November 2005
""...an excellent and current introduction to classical bioinformatics and an ideal core text for a Master's course in the subject."" Comparative and Functional Genomics, November 2005
- Provides comprehensive coverage of bioinformatics, including sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays and proteomics
- Places bioinformatics in the context of evolutionary biology, giving detailed treatments of molecular evolution and molecular phylogenetics and discussing evolution at the whole-genome level
- Emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students
- Features end-of-chapter problems and periodic self-tests to help students synthesize and absorb the material
- Devoted website, www.blackwellpublishing.com/higgs, contains downloadable sequences, links to web resources, all answers to self-tests, and all art in JPEG and PowerPoint formats