Online tutorial

Functional genomics II Common technologies and data analysis methods

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Time to complete: 2 hours

This course includes:

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Last reviewed: June 2020


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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.

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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_disc_logo DOI: 10.6019/TOL.FunGenII-c.2016.00001.1

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