Single Cell Data Analysis with Partek Flow Software

Single Cell Data Analysis with Partek Flow Software

Single Cell Data Analysis with Partek Flow Software

Institute of Molecular & Cell Biology | Singapore

During this training, attendees 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 of Partek Flow. Attendees will work with a test data set.

Afternoon tea provided

Agenda

1:00 p.m. - 4:00 p.m.


  • Import a count matrix text file
  • Filter cells using interactive QA/QC charts
  • Filter low expressed genes
  • Normalize raw count
  • 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 between sub-populations
  • Filter a gene list
  • Identify enriched KEGG pathway and/or GO terms
  • Visualize cell-level results using heat maps, volcano plots, and violin plots
  • Demonstrate how to import fastq files and upstream analysis pipeline on any single cell vendor prep kit
  • Demonstrate how to handle CITE-Seq, feature barcoding, and cell hashing data

Bring your own internet ready laptop to participate


Register - Institute of Molecular & Cell Biology - December 2019
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Kathi GoscheSingle Cell Data Analysis with Partek Flow Software