The Gladstone Data Science Training Program provides learning opportunities and hands-on workshops to improve your skills in bioinformatics and computational analysis. Gain new skills and get support with your questions and data. This program is co-sponsored by UCSF School of Medicine.

This 3-session workshop will focus on the analysis of single-cell RNA-Seq data, starting from raw count matrices and progressing to network analysis of single-cell datasets. 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.

• September 16:  9:00am-12:00pm: Loading data, quality control, normalization, feature selection, dimensionality reduction
• September 17: 9:00am-12:00pm: Dimensionality reduction (continued), clustering, finding marker genes
• September 17: 1:00-4:00pm: 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