This workshop is on single cell RNASeq analysis with multiple samples using HSLS-licensed Partek Flow software.
Target Audience:
Experimental biologists seeking to learn how to analyze the single cell data generated through experiments or retrieved from a publication or a repository such as GEO. The software covered in the workshop operates through a user-friendly, point-and-click graphical user interface, so neither computer programming experience nor familiarity with the command-line interface is required.
Upon completing this class, you should be able to:
- analyze from Raw data (FASTQ files)
- import FASTQ files and run Cellranger software to generate single cell count matrix
- analyze from Count Matrix data
- import single cell count matrix
- perform quality checks (QC) on single-cell data
- filter and normalize the data
- generate PCA and t-SNE, UMAP plots to visualize data
- identify cell populations, and biomarkers in the multisample data
- compute differential gene expressions between two cell populations and/or samples
Level
Novice
What should you do before attending this class:
Register for Partek Flow software.
Recording status
This class will be recorded and shared with attendees.
Class Materials
Class materials will be shared with attendees.