Online tutorial

Functional genomics II

Common technologies and data analysis methods

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Time to complete:

2 hours

This course includes:

  • Activities
  • Quizzes
  • Videos

Written by:

Last reviewed:

June 2020


Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.


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This online course introduces common technologies in functional genomics studies, including microarrays and next generation sequencing (NGS), with a special focus on RNA-sequencing (RNA-seq). We look at important considerations when designing your experiments, data analysis methods, and discuss when to use one technology over another.

Feedback and help

Who is this course for?

This course is aimed at experimental or bench-based researchers working in the molecular life sciences who have little or no previous experience of functional genomics. An undergraduate knowledge of a subject related to the life sciences would be an advantage.

This is the second part of our functional genomics course. We recommend that you look at Functional genomics I: Introduction and designing experiments before starting this course. You may also be interested in Functional genomics III: Submitting your data and functional genomics databases.

What will I achieve?

By the end of the course you will be able to:

  • Evaluate different functional genomics technologies and know when to use them
  • List some of the considerations when designing your own functional genomics experiments using these technologies
  • Describe the steps involved in data analysis of microarray and RNA-seq experiments

What resources do I need?

There are no specific resources required to complete this course.

DOI: 10.6019/TOL.FunGenII-c.2016.00001.1

Course contents