Hands-on - Single-Cell RNAseq analysis using Seurat

Europe/Brussels
GIGA meeting rooms

GIGA meeting rooms

B34 +5
Arnaud Lavergne (GIGA)
Description

This hands-on follows the "Introduction to Single-Cell Sequencing" lecture.

Following the introduction, the aim of this training is to give to the participants the basis to perform their own Single-Cell RNAseq downstream analysis.

Using Seurat standard workflow, you will first learn to conduct a simple SC analysis on 10X genomics data. We will go through the different steps including integrating the data, filtering, normalization, clustering and differential expression analysis.

In the second session, you will be able to choose to perform an analysis on your own data, or provided data with a more complex design.


Requirements :

- You attended the "Introduction to Modern Sequencing" lecture

- You attended the "R Introduction" trainings (OR proof of R knowledge)

- You will need your own computer with R and/or Rstudio installed


Organization :

2 Sessions ~3Hrs


Price :

- GIGA/Uliege : 30€

- Academic non-GIGA/Uliege : 40€

- Industry : 75€


 

Organized by

GIGA Bioinformatics

Participants
  • Camille Lejon
  • Fatine Cherkaoui
  • Laetitia Bernet
  • Loïc Comeliau
  • Mona Veithen
  • Sophie Bekisz
    • 14:00 16:30
      Seurat - Exploring vignettes for standard analysis 2h 30m Petite Ghuysen

      Petite Ghuysen

      GIGA meeting rooms

      B34 +5

      During this session, we will apply the Seurat workflow on a 10X genomics dataset, and we will discuss the different steps and what they imply.
      We will cover data import, filtering & QC, normalization, clustering and visualization.

      Speaker: Dr Arnaud Lavergne (GIGA)
    • 14:00 16:30
      Seurat - Your scRNAseq analysis 2h 30m Petite Ghuysen

      Petite Ghuysen

      GIGA meeting rooms

      B34 +5

      During this session, participants will perform a complete Seurat workflow on a dataset.
      They will be able to choose between their own data, or provided datasets.

      Speaker: Dr Arnaud Lavergne (GIGA)