Register for scRNA-Seq Data Analysis Using PartekFlow
June 29 11 a.m. – 1 p.m., in Falk Library Classroom 2
This is a flipped class; links to PowerPoint slides, lecture videos, and practice exercises that you can view on your own schedule are available upon registration. During this in-person hands-on session, you will learn how to solve the exercise problems.
The workshop lecture videos will introduce the techniques, platforms, and methods used in generating single-cell RNA-Seq data, followed by a step-by-step guide on scRNA-seq data analysis using HSLS-licensed Partek Flow software.
Participants will learn how to
- import FASTQ/Count matrix files from scRNA-Seq experiments to PartekFlow software
- perform quality checks (QC) on single-cell data
- filter and normalize the data
- generate PCA and t-SNE plots to visualize data
- identify cell populations, biomarkers, and compute differential gene expressions between two cell populations
- perform trajectory analysis
Target Audience:
Experimental biologists seeking to analyze scRNA-Seq data generated through experiments or retrieved from a repository such as GEO. The software covered in the workshop operates through a user-friendly, point-and-click graphical user interface, so neither programming experience nor familiarity with the command line interface is required.