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GO Enrichment Analysis on Single-Cell RNA-Seq Data

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Abstract

scRNA-Seq data analysis roadmap

Questions this will address

  • What is Gene Ontology (GO) enrichment analysis, and why should I perform it on my marker genes?
  • How can I use GO enrichment analysis to better understand the biological functions of the genes in my clusters?
  • Can GO enrichment analysis help me confirm that my clusters represent distinct cell types or states?

Learning Objectives

  • Aim to identify enriched GO terms associated with the DEGs.
  • Enhance understanding of biological processes, molecular functions, and cellular components involved.

Licence: Creative Commons Attribution 4.0 International

Keywords: Single Cell

Target audience: Students

Resource type: slides

Version: 2

Status: Active

Prerequisites:

Introduction to Galaxy Analyses

Learning objectives:

  • Aim to identify enriched GO terms associated with the DEGs.
  • Enhance understanding of biological processes, molecular functions, and cellular components involved.

Date modified: 2025-02-27

Date published: 2024-09-17

Authors: Gokce Oguz, Menna Gamal, Wendi Bacon

Contributors: Björn Grüning, Mennayousef, Pablo Moreno, Saskia Hiltemann

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