This textbook for undergraduate and graduate level courses describes computational methods for analyzing DNA, RNA, and protein data. It also explains the underlying algorithms, discusses the advantages and disadvantages of each method, and explores t heir application to biological problems. The second edition contains a new chapter on programming for bioinformatics using Perl and BioPerl modules. The statistical analysis of microarrays is also covered. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)
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.
