Single-cell RNA-sequencing (scRNA-seq) has been widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, development of targeted therapy (including immunotherapy) and more. Accordingly tremendous amount of scRNA-seq data has been deposited to public domains like GEO.
In this training, attendees will learn how to
· Locate public single cell studies of their interest using Omicsoft Single Cell Lands
· Study different cell types by dimension reduction plots (example t-SNE, UMAP)
· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)
· Identify key pathways and regulators from scRNA-seq data using Ingenuity Pathway Analysis
Click here to register.
