Single Cell RNA Seq (ScRNA-Seq) analyzes with R

Dates

• From Tuesday 11/06/2026 to Wednesday 12/06/2026

Speakers

Aurélien Barré, Benjamin Dartigues

Training link

Objectives

• Learn how to assess and manipulate data from Single Cell RNA Seq experiment
• Learn how to carry out a differential analysis at multiple levels
• Learn how to integrate complementary data for Single Cell RNA Seq analysis (spatial, trajectory, cell communication, cell identification...)

Program

This training will introduce in particular the Seurat library allowing the manipulation and analysis of single cell RNAseq data as well as the visualization of analysis results.

• Reminders of the concepts of Single Cell RNA Seq sequencing
• Importing Single Cell data into R
• Multiple Single Cell Data Integration
• Quality Check and data pre-processing
• Data normalization
• Identification of markers
• Clustering and cell assignment
• Differential analysis of cell groups
• Know how to integrate spatialization data
• Know how to integrate trajectory data
• Know how to integrate cellular communication data
• Know how to integrate epigenetic data (ATAC-seq)

Prerequisite

Mastery of the R language.

Have taken the "Language R: Introduction" course or equivalent level.

In order to verify that your mastery of the R language is sufficient to be able to follow this course, we invite you to complete and return the downloadable test HERE

Public

Engineers, biology technicians and training bioinformaticians

Anyone wishing to "exploit" NGS data or evaluate and reproduce the analyzes presented in scientific publications