Published November 20, 2024 | Version v1
Other Open

WORKSHOP: Making sense of gene and protein lists with functional enrichment analysis

  • 1. University of Sydney
  • 2. ROR icon Monash University
  • 3. Australian BioCommons

Description

This record includes training materials associated with the Australian BioCommons workshop ‘Making sense of gene and protein lists with functional enrichment analysis’. This workshop took place over two, 3 hour sessions on 20, 21 November 2024.

Event description

Omics experiments often generate long lists of genes or proteins. Functional enrichment analysis identifies biological trends in the data by assessing these lists against gene ontology and pathway information. This can help interpret the experimental results in the context of larger biological systems.

This workshop continues from our introductory webinar and provides a practical introduction to functional enrichment analysis. Using example data you will get hands-on with some of the most commonly used databases and tools for over representation (ORA) and gene set enrichment analysis (GSEA) and for identifying enriched biological functions in a list of genes or proteins. We’ll focus on tools available online and in R.

Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.

Lead Trainers:

  • Dr Hossein Valipour Kahrood, Bioinformatician, Monash Genomics and Bioinformatics Platform
  • Dr Cali Willet, Senior Research Bioinformatician, Sydney Informatics Hub, University of Sydney

Facilitators:

  • Georgina Samaha, Australian BioCommons
  • Laura Perlaza-Jimenez, Monash Genomics and Bioinformatics Platform

Infrastructure provision: Uwe Winter, Australian BioCommons
Host: Dr. Melissa Burke, Australian BioCommons


Training materials

Files and materials included in this record:

  • Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
  • R notebooks (zip): R markdown and html rendered files, input files.

Materials shared elsewhere:

Files

Event metadata - Making sense of gene and protein lists with functional enrichment analysis.pdf

Files (20.9 MB)