Bioinformatics. Sequence and Genome Analysis

As more species’ genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories.

Contents

Preface
Chapter 1. Historical Introduction and Overview
Chapter 2. Collecting and Storing Sequences in the Laboratory
Chapter 3. Alignment of Pairs of Sequences
Chapter 4. Introduction to Probability and Statistical Analysis of Sequence Alignments
Chapter 5. Multiple Sequence Alignment
Chapter 6. Sequence Database Searching for Similar Sequences
Chapter 7. Phylogenetic Prediction
Chapter 8. Prediction of RNA Secondary Structure
Chapter 9. Gene Prediction and Regulation
Chapter 10. Protein Classification and Structure Prediction
Chapter 11. Genome Analysis
Chapter 12. Bioinformatics Programming Using Perl and Perl Modules
Chapter 13. Analysis of Microarrays