Join us for this class:
Wednesday, June 26, 1-4 p.m., Online
Taught by Ansuman Chattopadhyay and Srilakshmi Chaparala
Register for Single Cell RNA-Seq Data Analysis using Partek Flow*
This workshop is on single cell RNA-Seq 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, t-SNE, and UMAP plots to visualize data
- identify cell populations and biomarkers in the multi-sample 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.
If you are unable to attend this scheduled class, consider requesting a customized instruction session for your course, group, or department.
*HSLS classes are open to University of Pittsburgh faculty, staff, and students, as well as UPMC residents and fellows.