e-learning

GO Enrichment Analysis

Abstract

When we have a large list of genes of interest, such as a list of differentially expressed genes obtained from an RNA-Seq experiment, how do we extract biological meaning from it?

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

  • How can I functionally interpret a list of genes of interest that I obtained from my experiment?

Learning Objectives

  • How to perform a GO Enrichment Analysis
  • How to interpret and simplify the results

Licence: Creative Commons Attribution 4.0 International

Keywords: Transcriptomics

Target audience: Students

Resource type: e-learning

Version: 12

Status: Active

Prerequisites:

  • Introduction to Galaxy Analyses
  • Mapping
  • Quality Control

Learning objectives:

  • How to perform a GO Enrichment Analysis
  • How to interpret and simplify the results

Date modified: 2024-03-05

Date published: 2019-01-23

Authors: IGC Bioinformatics Unit, Maria Doyle

Contributors: IGC Bioinformatics Unit, Maria Doyle

Scientific topics: Transcriptomics


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