Introduction to single-cell RNA-seq

(Melbourne Bioinformatics, The University of Melbourne)

This workshop aims to equip participants with the necessary knowledge and skills to analyse scRNA-seq data effectively, enabling them to extract meaningful insights from single-cell transcriptomic data.

Topics covered and tools used will include:

• An introduction to scRNA-seq technology and its applications.
• Basic data structures and file formats used in scRNA-seq analysis.
• Dimensionality reduction methods.
• Normalisation and scaling techniques to account for technical biases.
• Clustering analysis and annotation of cell types.
• Integration and batch correction methods for combining multiple scRNA-seq datasets.

During this training, participants will:

• Learn the fundamental concepts and principles of scRNA-seq data analysis.
• Gain hands-on experience in running a scRNA-seq analysis.
• Utilise popular R packages Seurat.
• Follow step-by-step instructions and complete practical exercises to reinforce the concepts learned.

The training material is avaiable here

At the end of this training, you will be able to:

• Describe the fundamental principles underpinning scRNA-seq analysis.
• Explain the key steps involved in the scRNA-seq data analysis workflow, from data preprocessing to downstream analysis.
• Take advantage of the Seurat R package to perform the analysis, generate plots and interpret the results.

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.

Wet-lab researchers who aim to gain a better understanding of the computational methods used to analyse and interpret scRNA-seq data.

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.

While prior knowledge of single-cell transcriptomics or scRNA-seq analysis is not required, participants are expected to have familiarity with the R programming language. This R training workshop provides the necessary skills: Intro into R for Biologists and is being delivered the week before this workshop.

This is an in person hands-on workshop and attendees must bring their own computers (laptop chargers also recommended) with access to the internet/wifi and the following software preinstalled:

Participants must install R, and R-Studio prior to the workshop session.

Additionally, please install and test Seurat and SeuratData. Instructions for this are included at the beginning of the workshop material.

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:

[email protected]

Host or Publisher Melbourne Bioinformatics