Graph Algorithms in Genome Sequencing

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Free Online Course: Graph Algorithms in Genome Sequencing provided by edX is a comprehensive online course, which lasts for 3 weeks long, 8-10 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. Graph Algorithms in Genome Sequencing is taught by Phillip Compeau and Pavel Pevzner.

Overview
  • In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn how graph algorithms are used in two fundamental problems in modern biology:

    • How do we sequence a genome?
    • How do we construct an evolutionary “Tree of Life?"

    In the first part of the course, you will learn how genome sequencing relies on using a graph to assemble millions of tiny DNA fragments into a contiguous genome. We will then shift gears and learn how to construct an evolutionary tree of life from genome data.

Syllabus
  • Week 1: Introduction to Genome Sequencing and Graphs
    Introduction to the basics of genome sequencing, and first attempts to model this problem using graphs.

    Weeks 2 and 3: Assembling Genomes from Tiny Fragments
    Applying an Eulerian path approach to assemble a genome from small pieces of DNA, and adapting this theoretical solution to practical considerations.