About this Event
Unlocking Biological Insights: Gene Ontology Enrichment Analysis and Multi-Omics Integration for single-cell RNA-seq data
Lead trainer: Xiaochen Zhang
(Melbourne Bioinformatics, The University of Melbourne)
Workshop Description:
This workshop will provide an introduction to cutting-edge techniques in single-cell RNA sequencing analysis, focusing on Gene Ontology (GO) enrichment and multi-omics integration. Participants will learn how to leverage single-cell transcriptomics data to uncover functional insights using GO analysis and explore methods to integrate multiple omics layers for a deeper understanding of complex biological systems. Hands-on sessions will guide attendees through practical workflows, empowering them to apply these techniques to their own research and drive discovery in their research.
The target audience for this training includes:
- Researchers and scientists in the fields of biology, genetics, bioinformatics, and related disciplines who are interested in or working with scRNA-seq data.
- Students and early-career researchers or graduate students who are new to scRNA-seq data analysis.
- Experienced bioinformaticians or computational biologists who want to expand their knowledge and skills in scRNA-seq data analysis techniques.
Learning objectives
By the end of this training, participants will be able to:
- Apply GO enrichment analysis to identify biological processes, molecular functions, and cellular components represented in single-cell RNA-seq data.
- Interpret GO results and identify key pathways and functional modules relevant to specific biological questions.
- Design a workflow for integrating various omics layers, considering the biological context and research goals.
- Take advantage of the Seurat, Signac and clusterProfiler R packages to perform the analysis, generate plots and interpret the results.
Eligibility:
This Free workshop is available to staff and students at The University if Melbourne and its affiliated institutes.
You must register for this event using an affiliated institutional email address or your registration may be cancelled.
Prerequisites and Requirements
Participants must have familiarity with the R programming language and basic familiarity with Seurat scRNA-seq workflow steps.
This is an in person hands-on workshop and attendees must bring their own computers (laptop chargers also recommended). The following is required:
- R and R-Studio installed
- Additionally, please install and test Seurat, Signac and clusterProfiler. Instructions for this are included at the beginning of the workshop material (available soon).
- Access to internet via uniwireless or Eduroam
- Web browser (Firefox or Chrome recommended)
Access
If you require any further information, or have any access requirements in order to participate in this workshop, please contact us as soon as possible to discuss your requirements:
We recommend that following our eventbrite page if you wish to be alerted when we release new workshops for registrations. If you require any further information, please contact Melbourne Bioinformatics at:
This workshop was made possible through the support of the Graduate Researcher Development Grant from the Faculty of Medicine, Dentistry and Health Sciences (MDHS) at the University of Melbourne.
Event Venue & Nearby Stays
21 Bedford St, 21 Bedford Street, North Melbourne, Australia
AUD 0.00
