Harvard Chan Bioinformatics Core presents: Introduction to single-cell RNA-seq data analysis

REGISTER HEREIntroduction to single-cell RNA-seq data analysis
REGISTRATION FEE: $65
DATES: July 26, 30 and August 2
WORKSHOP LOCATION: ONLINE via Zoom
TIME: 9:30 AM – 12 PM ET (All Days)
Prerequisites: Requires registrants to have attended the following Basic workshop offered by our training team in the last 6-8 months: Introduction to R

This workshop will instruct participants on how to design a single-cell RNA-seq experiment, and how to efficiently manage and analyze the data starting from count matrices. This will be a hands-on workshop in which we will focus on using the Seurat package in R. 

During this hands-on workshop, participants will learn:

  • How to design a single-cell RNA-seq experiment
  • How to use the Seurat package to analyze single-cell RNA-seq count matrices
  • How to compute and assess QC metrics at every step in the workflow
  • How to cluster cells based on expression data and derive the identity of the different cell types present
  • How to combine samples within a dataset, and across datasets using Integration

DOWNLOAD THE ANNOUNCEMENT BELOW FOR MORE INFORMATION: