Bioinformatics Algorithms: an Active Learning Approach

Advance Praise for Bioinformatics Algorithms:

“This lively and unique text on bioinformatics motivates algorithmic thinking with an abundance of up-to date examples from molecular biology.” — Michael Waterman, University Professor of Biological Sciences, Mathematics, and Computer Science, University of Southern California
“A refreshing, original approach to teaching the foundations of bioinformatics, this textbook builds the reader’s comprehension by combining hands-on exercises with illuminating biological stories and mathematical rigor.” — Ron Shamir, Sackler Chair in Bioinformatics, Computer Science Department, Tel Aviv University



Chapter 1: Where in the Genome Does DNA Replication Begin?

Chapter 1: Where in the Genome Does DNA Replication Begin?

  • The Search for Hidden Messages in the Replication Origin (Part 1)

Chapter 2: How Do We Sequence Antibiotics?

  • The Discovery of Antibiotics

Chapter 3: Which DNA Patterns Play the Role of Molecular Clocks?

  • From Implanted Patterns to Regulatory Motifs (Part 1)

Chapter 4: How Do We Assemble Genomes?

  • What Is Genome Sequencing?

Chapter 5: How Do We Compare Biological Sequences?

  • From Sequence Comparison to Biological Insights

Chapter 6: Are There Fragile Regions in the Human Genome?

  • Transforming Men into Mice

Chapter 7: How Do We Locate Disease-Causing Mutations?

  • Why Do We Map Reads?

About The Authors

Phillip Compeau is a Ph.D. candidate in the University of California, San Diego (UCSD) Department of Mathematics. He is an Achievement Rewards for College Scientists Scholar. He holds Master’s degrees from Cambridge University and UCSD in addition to a Bachelor’s degree from Davidson College. He researches the combinatorics of genome rearrangements and is passionate about the future of education, having cofoundedRosalind with Nikolay Vyahhi. A retired tennis player, he dreams of one day going pro in golf.
Pavel Pevzner is Ronald R. Taylor Professor of Computer Science at the University of California, San Diego. He holds a Ph.D. from Moscow Institute of Physics and Technology, Russia. He is a Howard Hughes Medical Institute Alumnus Professor (2006), an Association for Computing Machinery Fellow (2010), and an International Society for Computational Biology Fellow (2012). 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).

Read more

Bioinformatics Algorithms: an Active Learning Approach