Hani Kim
Yingxin Lin
Dr
Shila Ghazanfar

Workshop: Single Cell RNA-seq Analysis

Single-cell RNA-seq (scRNA-seq) is now widely used in many areas of biomedical research. Nonetheless, the analysis of scRNA-seq is often challenging and getting started can be a daunting task for beginners. This practical workshop is relevant to anyone who is interested in learning more about commonly used tools for scRNA-seq analysis in the R – Bioconductor environment. We will run through the process of analysing a scRNA-seq data collection from mouse fetal liver development from start to finish using open-source programs, including quality control, data integration, clustering analysis, differential expression analysis, pseudotime trajectory analysis and other popular single-cell downstream analysis.

Key words: Single-cell RNA-seq, data analysis; data integration

Requirements: Participants are required to bring their own laptop. Basic R knowledge is encouraged but no previous single cell analytic experience is required.

Relevance: This is relevant to anyone who are interested in single-cell data analysis and want to learn commonly used tools for scRNA-seq analysis in the R – Bioconductor environment.

Hani Kim

The University of Sydney

 

Yingxin Lin

The University of Sydney

 

Dr Shila Ghazanfar

Cancer Research UK Cambridge Institute