The application of computational methods to DNA and protein science is a new and exciting development in biology. Bioinformatics: Sequence and Genome Analysis is a comprehensive introduction to this emerging field of study. The book has many unique and valuable features:
-- It is written for any biologist who wants to understand methods of sequence and structure analysis and how the necessary computer programs work
-- Sequence alignment, structure prediction, phylogenetic and gene prediction, database searching, and genome analysis are clearly explained and amply illustrated
-- Underlying algorithms and assumptions are clearly explained for the non-specialist
-- Examples are presented in simple numerical terms rather than complex formulas and notation
-- Theoretical underpinnings are linked to biological problems and their solutions
-- Extensive tables provide descriptions and Web sources for a broad range of publicly available software
-- An associated Website (www.bioinformaticsonline.org), accessible free of charge by book purchasers, provides links to Internet sources referred to in the text, as well as problem sets for classroom use, and other useful material not included in the text.

Based on the well-established course given at the University of Arizona by the author, David Mount, this book is an ideal foundation for teaching at an undergraduate and graduate level. It is also highly suited for the self-instruction of investigators interested in the application of methods and strategies in functional genomics and for the needs of information specialists working in molecular biology and pharmaceutical laboratories.

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.