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Textbooks Required •Bioinformatics Algorithms: An Active Learning Approach Volume I (Compeau and Pevzner 2015) •Bioinformatics Algorithms: An Active Learning Approach Volume II (Compeau and Pevzner 2015) Other great resources •Biological Sequence Analysis (Durbin, Eddy, Krogh, Mitchinson 1998) •Genome Scale Algorithm Design (Mäkinen, Belazzougui, Cunial, I will give a more detailed review once I finish all the courses and complete this and Vol 1 (Bioinformatics Algorithms: An Active Learning Approach, 2nd Ed. Learn how simple computational analysis of a bacterial genome can uncover insights into the hidden messages driving its behavior. Buy Bioinformatics Algorithms: An Active Learning Approach 2nd by Phillip Compeau, Pavel Pevzner (ISBN: 9780990374626) from Amazon's Book Store. In addition to Bioinformatics Algorithms: An Active Learning Approach, he has authored the textbooks Computational Molecular Biology: An Algorithmic Approach (2000) and An Introduction to Bioinformatics Algorithms (2004) (jointly with Neil Jones). A light hearted and analogy filled companion to the authors' acclaimed online courses, this book presents students with a dynamic approach to learning bioinformatics. Learn about the evolutionary tree construction algorithms that can help us build trees for coronaviruses and find the origin of SARS. We pride ourselves that the online courses accompanying Bioinformatics Algorithms are open. Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. 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