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Finding Hidden Messages in DNA
Finding Hidden Messages in DNA
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Finding Hidden Messages in DNA

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Completed on 2015-12-06

About the Book

Finding Hidden Messages in DNA represents the first two chapters of Bioinformatics Algorithms: an Active Learning Approach, which is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors’ acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science.

The two chapters cover two central biological questions: “Where in the Genome Does Replication Begin?” and “Which DNA Patterns Play the Role of Molecular Clocks?” The textbook then steadily develops the algorithmic sophistication required to answer each question. Dozens of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track.

The textbook website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.

About the Authors

Phillip Compeau
Phillip Compeau

Phillip Compeau is an Assistant Teaching Professor in the Carnegie Mellon University Department of Computational Biology, where he serves as Assistant Director of the Master's in Computational Biology program (http://www.cmu.edu/ms-compbio/). He holds a Ph.D. from UC San Diego, a Master's degree from Cambridge University, and a Bachelor's degree with High Honors from Davidson College. He is the author of Bioinformatics Algorithms: An Active Learning Approach (http://bioinformaticsalgorithms.com).

Phillip co-created the first massive open online course (MOOC) in bioinformatics, which has grown into the six-course Bioinformatics Specialization on Coursera (https://www.coursera.org/specializations/bioinformatics/). He also co-founded Rosalind (http://rosalind.info), an online platform for learning bioinformatics. A retired tennis player, he dreams of one day going pro in golf.

Pavel Pevzner
Pavel Pevzner

Pavel Pevzner (http://cseweb.ucsd.edu/~ppevzner/) is Professor of Computer Science and Engineering at University of California San Diego (UCSD), where he holds the Ronald R. Taylor Chair and has taught a Bioinformatics Algorithms course for the last 12 years.  In 2006, he was named a Howard Hughes Medical Institute Professor. In 2011, he founded the Algorithmic Biology Laboratory in St. Petersburg, Russia, which develops online bioinformatics platform Rosalind (http://rosalind.info). His research concerns the creation of bioinformatics algorithms for analyzing genome rearrangements, DNA sequencing, and computational proteomics. He authored Computational Molecular Biology (The MIT Press, 2000), co-authored (jointly with Neil Jones) An Introduction to Bioinformatics Algorithms (The MIT Press, 2004), and Bioinformatics Algorithms: An Active Learning Approach  (Active Learning Publishers, 2014). For his research, he has been named a Fellow of both the Association for Computing Machinery (ACM) and the International Society for Computational Biology (ISCB).

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