The lectures and wet-lab demos of single cell and spatial omics methodologies are given between Feb-24 to Feb-27, 2026, followed by one full week of data analysis workshop (March-2 to March-6). The latter encompasses hands-on single cell transcriptomics, spatial transcriptomics, and spatial proteomics data analysis with R/Python. The course will be organised by the Doctoral Programme in Biomedicine (DPBM), hence DPBM students are prioritised in student selection. Basic knowledge of R/Python programming language(s) is recommended.
The course is fully booked, registration is closed ahead of time.
Organising team for the course: Anna Vähärautio, Anniina Färkkilä, Andrew Erickson, Franziska Niemeyer, Hanna Nebelung, Laura Langohr, Matias M. Falco, Nour Assaf, Pau Puigdevall, Rishi Das Roy, Wenqing Chen, Ada Junquera, Ziqi Kang, Zacharie Darroch, Lilja Lahtinen, Heidi Haikala, Ilkka Ilonen.
For student questions, please contact Anna Vähärautio (
The CSC also organises an associated online course 'Single-cell RNA-seq data analysis using Chipster'. The course is organised 3.3.2026 - 4.3.2026, 09:00 - 12:30 both days, and does not require previous knowledge of Unix, R or Python. No credits assigned.