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
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.
Table of 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