Graph Algorithms in Genome Sequencing

Online Course

edX
Graph Algorithms in Genome Sequencing

What is the course about?

Graph Algorithms in Genome Sequencing
The course Graph Algorithms in Genome Sequencing is an online class provided by The University of California, San Diego through edX. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how graphs are used to assemble millions of pieces of DNA into a contiguous genome and use these genomes to construct a Tree of Life.

Course description

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.

Prerequisites & Facts

Graph Algorithms in Genome Sequencing

Course Topic

Business, Data Analytics, Decision Making

University, College, Institution

The University of California, San Diego

Course Skill Level

Intermediate

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Graph Algorithms in Genome Sequencing

To obtain a verified certificate from edX / The University of California, San Diego you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (150.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
The University of California, San Diego
Graph Algorithms in Genome Sequencing
provided by edX

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School: The University of California, San Diego
Topic: Biology and Life Sciences, Computer Science, Math