Hands-On Single Cell RNA-Seq Data Analysis in Partek Flow

About this Class

Students will learn how to identify cell populations and detect differentially expressed genes in a simple Single Cell RNA-Seq experiment with the point-and-click interface in Partek Flow. For example: import data; filter cells using interactive QA/QC charts; filter and normalize Single Cell RNA-Seq data; visualize cell populations using the interactive 3D t-SNE plot; overlay gene expression and pathway signatures on the 3D t-SNE plot; select and classify cells on the 3D t-SNE plot; detect differentially expressed genes; filter a gene list; identify enriched KEGG pathway and/or GO terms; visualize cell-level results using heat maps, volcano plots, and violin plots. Benefits: Acquire working knowledge of tools available to NIH researchers for Single Cell RNA-Seq data analysis.