This course is addressed to life scientists and bioinformaticians familiar with some next-generation sequencing approaches and plan to use scRNA-seq in their research projects, and who are interested in learning how to navigate and analyze such data.
Registration deadline: 13 May 2024
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.
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
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.