Computational analysis of the data generated by genome sequencing, proteomics, and array-based technologies is critically important. Sequence and Genome 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 previous edition of this textbook, based on the pioneering course given at the University of Arizona, by the author, David W. Mount, was the first to be widely adopted for course use around the world. The second edition has been extensively revised, with guidance provided by experienced instructors, to maximize its value for both undergraduate and graduate level teaching.
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