Bioinformatics is an interdisciplinary field spanning diverse domains like biology, statistics, and computer science. It focuses on developing algorithms that extract useful information from biological data. These insights help address critical issues like waste cleanup, vaccine development, and climate change.

This course focuses on algorithmic principles driving advances in bioinformatics. It starts by introducing the learner to important concepts in genomics, such as DNA replication, genome assembly, and comparing genetic sequences. It applies concepts from algorithm design to genomics, like Eulerian paths, de Bruijn graphs, and longest common subsequences. It includes coding challenges, as well as sections on additional insights and thought-provoking questions.

By the end of this course, you’ll have a basic knowledge of genomics. You’ll be able to apply a diverse set of algorithms to biological data to get insights and also be introduced to various open problems in this field.