February 27, 2024 @ 1:00 pm – 2:30 pm
Single-cell RNA-sequencing (scRNA-seq) is widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapy (including immunotherapy) and more. Accordingly, a tremendous amount of scRNA-seq data has been deposited to public domains like GEO.
In this training, you will learn how to
- Locate public single-cell studies of interest using QIAGEN Omicsoft Single-Cell Lands
- Study different cell types by dimension reduction plots (for 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 QIAGEN Ingenuity Pathway Analysis (IPA)
