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.

Date: September 18, 2024
Time: 1:00pm to 4:00pm
Mode: Zoom
Location: Online, Online - synchronous
Instructor: Srilakshmi Chaparala
Register for this class