Here is the handout used for todays Single Cell RNA Seq analysis class:
PartekFlowSingleCellRNA-SeqTrainingHandout_August2019
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 ncibtep@nih.gov
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 |
|
| Join by phone |
| Tap to call in from a mobile device (attendees only) |
| 1-650-479-3207 Call-in toll number (US/Canada) |
| Join from a video system or application |
| Dial 731584771@cbiit.webex.com |
| You can also dial 173.243.2.68 and enter your meeting number. |
| Join using Microsoft Lync or Microsoft Skype for Business |
| Dial 731584771.cbiit@lync.webex.com |
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