Single Cell RNA-Seq Data Analysis Using Partek Flow

Partek Flow provides a singular web based point and click environment for analyzing and visualizing high dimensional multi-omics sequencing data, making bioinformatics easily accessible to all researchers. During this Single Cell RNA-Seq data analysis workshop, one human PBMC sample count matrix data will be used to illustrate basic analysis steps from raw count matrix to cell type classification and differential analysis.

Workshop Agenda:
•       Data QA/QC
•       Filter cells and genes
•       Normalization
•       Cell type classification
•       Differential analysis
•       Pathway analysis
•       Visualization (PCA, UMAP, tSNE, dotplot, volcano plot, hierarchical clustering etc.)