Includes bibliographical references and index.

Historical introduction and overview -- Collecting and storing sequences in the laboratory -- Alignment of pairs of sequences -- Introduction to probability and statistical analysis of sequence alignments -- Multiple sequence alignment -- Sequence database searching for similar sequences -- Phylogenetic prediction -- Prediction of RNA secondary structure -- Gene prediction and regulation -- Protein classification and structure prediction -- Genome analysis -- Bioinformatics programming using Perl and Perl modules.

"This book is an ideal foundation for teaching at the undergraduate and graduate levels. It is also highly suited for self-instruction by research investigators interested in applying computational methods of analysis and by information technologists associated with academic and industrial laboratories."--Jacket.