In this webinar, the speaker will cover how to simplify your single cell RNA-seq analysis with biologist-friendly point and click tools.

• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries

• Generate dimension reduction (UMAP, t-SNE) plots to understand differences between cell clusters/experimental conditions

• Identify and study clusters and cell types specific biomarkers using differential expression tables, gene expression heat maps, dot plots and violin plots

• Generate desired cell annotations using hashtags

• Visualize and investigate spatial transcriptomics plot using your Cell Ranger output to better understand cellular organization and generate hypothesis

• Use preconfigured but customizable pipelines/workflows for single-cell RNA-seq data