Course Details

  • Date: August 28th, 2019 - August 28th, 2019
  • Time: 1:00 pm - 5:00 pm
  • Location: Bldg 10 FAES room 4 (B1C205)
  • Presenter(s): Xiaowen Wang (Partek)

Here is the handout used for todays Single Cell RNA Seq analysis class:


Attention: This class is limited to 28 people due to the size of the room. There is another Single Cell Rna-Seq class on Oct 23 if you can’t make this one.

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

Please bring your computer for this hands-on training. If you need to borrow a computer please email

Abstract: 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:

– 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


If you can’t attend in person, WebEx will be provided.

Meeting number (access code): 731 584 771
Meeting password: fR3RPGP?
Wednesday, August 28, 2019
1:00 pm  |  (UTC-05:00) Eastern Time (US & Canada)  |  3 hrs
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