About this Class

Please note class will start at 1:30 PM and end at 3:30 PM.  Hands On Training on Single Cell RNA-Seq Data Analysis in Partek Flow Please bring your own 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 are unable to attend in person WebEx will be available: Meeting link: https://cbiit.webex.com/cbiit/j.php?MTID=m93cd8514270a1242d230b21a8379fb2f Meeting number: 737 711 601 Password: Cxjjjq@3 Host key: 696480 More ways to join Join by video system Dial 737711601@cbiit.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone 1-650-479-3207 Call-in number (US/Canada) Access code: 737 711 601

Files

• PartekFlowNewFeatureList_AUG_2019.pdf: |
• PartekFlowSingleCellRNA-SeqTrainingHandout_August2019-1.pdf: |