scRNA-Seq Data Analysis Using PartekFlow - In-Person

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This is a flipped class; links to PowerPoint slides, lecture videos, and practice exercises that you can view on your own schedule are available upon registration. During this in-person hands-on session, you will learn how to solve the exercise problems. The workshop lecture videos will introduce the techniques, platforms, and methods used in generating single-cell RNA-Seq data, followed by a step-by-step guide on scRNA-seq data analysis using HSLS-licensed Partek Flow software. 

Participants will learn how to

  • import FASTQ/Count matrix files from scRNA-Seq experiments to PartekFlow software
  • perform quality checks (QC) on single-cell data
  • filter and normalize the data
  • generate PCA and t-SNE plots to visualize data
  • identify cell populations, biomarkers, and compute differential gene expressions between two cell populations
  • perform trajectory analysis

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.

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