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.
|Edition description:||New Edition|
|Product dimensions:||6.00(w) x 1.25(h) x 9.00(d)|
About the Author
Paul Higgs is currently the Canada Research Chair inBiophysics at McMaster University. Previously, he was the coursedirector of the Bioinformatics MSc at Manchester University. He hasa PhD in statistical physics from the University of Cambridge. Hiscurrent research interests include RNA structure and sequenceevolution, molecular phylogenetics, theoretical evolutionarybiology, and population genetics.
Teresa Attwood is Professor of Bioinformatics atManchester University, Visiting Fellow at the EuropeanBioinformatics Institute, and author of the PRINTS proteinfingerprint database. She has a PhD in biophysics from theUniversity of Leeds, and now teaches national and internationalcourses in bioinformatics. Her current research interests includeprotein sequence analysis, data visualization, and biomedical textmining.
Table of Contents
Chapter 1. Introduction: The Revolution in BiologicalInformation.
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 andPhylogenetics.
Chapter 12. Genome Evolution.
Chapter 13. DNA Microarrays and the 'omes.
List of Web address.