Sydney West Translational Cancer Research Centre
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Single Cell Data Analysis with Partek Flow Software

Jun
11
2
00
P
5
00
P

Location:

Westmead Institute for Medical Research

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

Single Cell Analysis

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 at http://www.partek.com/training/westmead_6-11-19/