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scRNA-seq Data Analysis - 07.-10. Sept 2026 - Registration OPEN

Single-cell RNA sequencing (scRNA-seq) allows researchers to study gene expression at the level of individual cells. This approach can, for example, help to identify different cell populations in a complex sample and describe their expression patterns. To generate and analyse scRNA-seq data, several methods are available, all with their strengths and weaknesses depending on the researchers’ needs. This 3-day course will cover the main technologies as well as the main aspects to consider while designing an scRNA-seq experiment. In particular, it will combine the theoretical background of analytical methods with hands-on data analysis sessions focused on data generated by droplet-based platforms.

Course in Italy: scRNA-seq Workshop. An introduction to single cell RNA-seq data analysis

The workshop is suitable for life scientists who are new to single cell gene expression technology data analysis. It is open to PhD and Post-Doc research scientists, as well as team leaders and PIs. This course offers a comprehensive introduction to single-cell RNA sequencing (scRNA-seq) data analysis using open-source tools, with a focus on the rCASC package.

Deadline for applications: 20th January 2025

Course date: 10-12 February 2025

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Course at Pilsen, Czech Republic: SUMMER SCHOOL OF SINGLE CELL, FROM THE LAB TO DATA ANALYSIS

We are inviting you to join our unique Single-cell summer school which covers all important steps during immune cell processing, sample preparation for single-cell sequencing and data analysis. This eight days intensive hands-on school focuses on experiment design, sample selection and preparation, quality control, sequencing, understanding NGS data formats, sequence editing, read mapping, handling potential problems and finally data interpretation.

Registration deadline: 5th of May 2024.

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Single cell RNA-seq analysis courses by ELIXIR-FI in Espoo

Please note that registration is now open for the following two single cell RNA-seq data analysis courses, which cover the processing of transcript counts from quality control and filtering to dimensional reduction, clustering, and differential expression analysis. You will also learn how to do integrated analysis of two samples. 

 

18.-19.9.2019 Single cell RNA-seq data analysis using R

In order to participate in this course, you need to have prior experience in using R.

Teachers: Heli Pessa, Bishwa Ghimire, Iivari Kleino

For more information and registration, please see https://www.csc.fi/web/training/-/single-cell-r-2019

 

24.9.2019 Single cell RNA-seq data analysis using Chipster

As the R-based tools are used via the graphical user interface of Chipster, no experience of R is required, and the course is thus suitable for everybody.

Teachers: Maria Lehtivaara and Eija Korpelainen

For more information and registration, please see https://www.csc.fi/web/training/-/single-cell-chipster-2019

 

Note that you can combine these courses with the international Single cell transcriptomics symposium, which takes place in Biomedicum Helsinki 23.9.2019. 

For more information and registration, please see 

https://www.helsinki.fi/en/researchgroups/immunomics/single-cell-course-week/single-cell-transcriptomics-symposium-2019

 

Finally, all the material from the ELIXIR course "Single cell RNA-seq data analysis with R" (27.-29.5.2019) is now available at 

https://www.csc.fi/web/training/-/scrnaseq

The material includes lecture videos, slides, exercises with code, and exercise data.