scRNA-Seq Data Analysis using PartekFlow

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This workshop teaches ScRNA-Seq data analysis using the library-licensed PartekFlow software. Upon registration, you will receive links to workshop materials (PowerPoint slides, lecture videos, and practice exercises) that you can view on your schedule. During the class, you will learn how to solve exercise problems.

During this workshop, 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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