Bioinformatics Algorithms: An Active Learning Approach (PDF)
By Phillip Compeau & Pavel Pevzner | 2nd Edition | 314 Pages
Learn bioinformatics through real biological questions and hands-on algorithmic challenges. This interactive textbook bridges biology and computer science with practical problem-solving exercises.
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Bioinformatics Algorithms: An Active Learning Approach – PDF eBook
Explore modern bioinformatics with this highly rated and interactive textbook by Phillip Compeau and Pavel Pevzner. Designed for both biology and computer science students, this book introduces core algorithmic concepts through real-world biological questions and practical challenges.
Each chapter begins with an engaging biological problem—such as identifying fragile regions in the human genome or discovering DNA molecular clocks—then guides readers through the algorithms needed to solve them. Hundreds of exercises are embedded throughout the text, with additional coding challenges available on the Rosalind Bioinformatics Textbook Track.
Originally developed alongside a popular Coursera specialization, this book combines clear explanations, analogies, and active learning techniques to make complex bioinformatics topics accessible and engaging.
📌 eBook Details:
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Format: PDF
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File Size: 6.42 MB
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Pages: 314
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Edition: 2nd
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Year: 2015
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Language: English
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Publisher: Active Learning Publ.
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ISBN-10: 0990374629
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ISBN-13: 9780990374626
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Category: Biology & Natural Sciences
Perfect for students, researchers, and professionals looking to master bioinformatics algorithms through an active, problem-based approach.
