Single Cell RNA-Seq Analysis

Reuben Thomas - Associate Core Director

Michela Traglia -Senior Statistician

Ayushi Agrawal - Bioinformatician III

This three-session workshop will focus on the analysis of single-cell RNA-seq data, starting from raw count matrices. You’ll learn about quality control of the raw data, normalization, feature selection, dimensionality reduction, clustering, finding marker genes, and batch correction. You’ll analyze data using R.
 
Attendance at all three sessions is required.

• March 27  9:30am–12:00pm 
  Loading data, quality control, normalization, feature selection, dimensionality reduction
• March 27  1:00pm–3:30pm 
  Dimensionality reduction (continued), clustering, finding marker genes
• March 28 9am–12pm 
  Advanced discussion on normalization, differential analysis, and batch correction

Advanced: This is an advanced workshop in the RNA-Seq Analysis series. Prior experience with RNA-seq analysis is required. See introductory and intermediate workshops:

• Introduction to RNA-Seq Analysis
• Intermediate RNA-Seq Analysis Using R

Visit the workshop site for more details and materials