Single Cell RNA-Seq Data Analysis using Partek Flow
Level: Novice
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
Event Details
Date: June 26, 2024 Time: 1:00pm
to 4:00pm Mode: Zoom Location: Online, Online - synchronous Instructor: Ansuman Chattopadhyay Class materials will be shared with attendees. This class will be recorded and shared with attendees. What should you do before attending this class: