Graph Algorithms in Genome Sequencing

About

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.

What you will learn

• Graph algorithms
• Algorithms for genome assembly
• Phylogenetics

Skills you learn

• Graph Algorithms
• Data Structures
• Biology
• Whole Genome Sequencing
• Algorithms

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.

Auto Summary

Discover the fascinating world of genome sequencing with "Graph Algorithms in Genome Sequencing." This course, offered by edX, explores how graphs help assemble DNA sequences into complete genomes and construct a Tree of Life. Ideal for IT and computer science enthusiasts, it provides foundational knowledge suitable for beginners. Available through Professional and Starter subscriptions.