Pattern Discovery in Biomolecular Data: Tools, Techniques, and Applications

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Product Description

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. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.

Pattern Discovery in Biomolecular Data: Tools, Techniques, and Applications Review

I have studied this book for some time now. The book is clearly directed to researchers in the area of pattern discovery with particular attention to biomolecular data. It collects contributions from the some of the most important research groups in the field. Each chapter is written by a different group but they are all very interesting. I have only a complaint about the quality of the print, not good enough for the cost of the book.

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