Wednesday, February 7, 2024, 1-4 p.m.
Hybrid session: Attend online or in person in the Falk Library Classroom
Register for Single Cell RNA-Seq Data Analysis using Partek Flow
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
This class is recorded and sent to attendees.
Class materials will be shared with attendees.
What should you do to prepare before attending this class: Register for Partek Flow software.