Bringing needed expertise in biology, statistics, and computer science to the task, this textbook provides a thorough introduction to computational methods in bioinformatics. It gives mathematicians and computer scientists a background in biology, including coverage of cell biology, DNA, RNA, and proteins. It then goes through the key computational methods in sequence analysis, microarray data analysis, and proteomics. Detailing both statistical and machine learning methods, provided algorithms are explained, each in the context of a relevant biological problem. The self-contained text provides practice exercises in each chapter for students and additional resources for adopting professors.
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University of Kansas, Lawrence, USA University of Pittsburgh, Pennsylvania, USA
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