Virtual course

Single-cell RNA-seq analysis with Python

2027

This course covers the analysis of single-cell RNA sequencing (scRNA-seq) data using Python and command-line tools. You will be guided through droplet-based scRNA-seq analysis pipelines from raw reads to cell clusters. You will then explore and interpret single-cell RNA-seq data using Python as well as the Single Cell Expression Atlas. Finally, you will put your knowledge into practice through a group challenge on the last day.

Virtual course

You will learn via a mix of pre-recorded lectures, live presentations, and trainer Q&A sessions. Practical experience will be developed through group activities and trainer-led computational exercises. Live sessions will be delivered using Zoom with additional support and asynchronous communication via Slack.

Pre-recorded material may be provided before the course starts that you will need to watch, read, or work through to get the most out of the live training event. 

In the week before the course, there will be a brief induction session. Computational practicals will be run on EMBL-EBI's virtual training infrastructure, meaning you will not require access to a powerful computer or install complex software on your own machine.

You’ll need to be available between the hours of 09:00 – 17:30 UK time each day of the course. The course trainers will be available to assist, answer questions, and provide further explanations during these times.

Who is this course for?

This course is aimed at wet-lab researchers who are generating, planning on generating, or working with single-cell RNA sequencing data. You are required to have basic experience with a Unix/Linux command line. Basic knowledge of Python is essential. 

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What will I learn?

Course content

During this course, you will learn about: 

  • scRNA-seq experimental design
  • scRNA-seq analysis pipelines for droplet-based data
  •  EMBL-EBI Single Cell Expression Atlas Service
  •  Single-cell data submission

Learning outcomes

After the course, you should be able to: 

  • Explain the steps in the scRNA-seq pipeline
  • Repeat the course analysis of scRNA-seq data from extraction to cluster maps
  • Recognise decision-making steps along the analysis pipeline and justify your decisions, from experimental design to final visualisation
  • Employ appropriate data standards for repository submission and contribution to global cell atlases

Trainers

Vinicius Maracaja-Coutinho
Universidad de Chile
Jiawei Wang
University of Bath
Iris Diana Yu
EMBL-EBI
Applications close
10 January 2027

12 – 16 April 2027
£250.00 (academia) / £350.00 (industry)
Contact
Toke Labiyi
Open application with selection
35 places

Organisers

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