Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. This book provides a summary of principal techniques. Each chapter describes techniques that are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components.
Wang JTL, Shapiro BA, Shasha D (Editors). Pattern Discovery in Biomolecular Data – Tools, Techniques, and Applications. Oxford University Press, New York, 1999.