- WHAT: Single Cell RNA-Seq Data Analysis
- WHEN: July 21st, 1-4pm
- WHERE: Online; instructions upon registration
- WHO: Ansuman Chattopadhyay & Sri Chaparala
- HOW: Register here
This is a flipped class covering the techniques, platforms, and methods used in analyzing single cell RNA-Seq data (scRNA-Seq). Upon registration, you will receive links to workshop materials (PowerPoint slides, lecture videos, and practice exercises) that you can view on your schedule. During the class, you will learn how to solve the exercise problems using Partek Flow software.
Participants will learn how to
- import FASTQ files from scRNA-Seq experiments using GEO
- perform quality checks (QC) on single cell data
- filter and normalize of data
- generate PCA and t-SNE plots to visualize data
- identify cell populations, biomarkers, and differential gene expression
- perform trajectory analyses
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.
Workshop Guide:
Attribution:
Please include the following statement in the acknowledgments section for all publications, posters, and presentations: Data analysis was performed using {name of software} software licensed through the Molecular Biology Information Service of the Health Sciences Library System, University of Pittsburgh.
HSLS Summer 2021 MolBio Info Service Training Workshops schedule
Contact the HSLS Molecular Biology Information Service with any questions.
(Photo by National Cancer Institute on Unsplash)