Analysis provides comprehensive instruction in computational methods for analyzing DNA RNA and protein data with explanations of the underlying algorithms the advantages and limitations of each method and strategies for their application to biological problems. The second edition has been extensively revised with guidance provided by experienced instructors to maximize its value for both undergraduate and graduate level teaching. 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.
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