Wednesday, May 31, 2023, 1-3 p.m., online

Register for scRNA-Seq Data Analysis using PartekFlow

In this class, you will learn how to analyze scRNA-Seq data using the user-friendly Partek Flow software. The class will cover a range of topics, from data import to cell population identification and differential gene expression analysis.

Learning Objectives:

Upon completing this class, you should be able to:

  • Import FASTQ/Count matrix files from an scRNA-Seq experiment into Partek Flow
  • Run Cell Ranger software on FASTQ files to generate count matrix
  • Perform quality checks (QC) on single-cell data
  • Filter and normalize the data
  • Generate PCA, t-SNE, and UMAP plots to visualize data
  • Identify cell populations, biomarkers, and compute differential gene expressions between two cell populations

Target Audience:

Experimental biologists seeking to analyze scRNA-Seq data generated through experiments or retrieved from a repository such as GEO. The software covered in the workshop operates through a user-friendly, point-and-click graphical user interface, so neither programming experience nor familiarity with the command line interface is required.