This is a field-specific doctoral-level course designed for the Health and Biosciences Doctoral Programmes at the University of Oulu. The course focuses on single-cell RNA sequencing (scRNA-seq) data analysis, providing a practical, hands-on introduction to essential methods. Participants will learn to process transcript count data, starting from quality control and filtering, and progressing through normalization, dimensionality reduction, clustering, and cell type identification. The course also covers integrated analysis of multiple samples. It is delivered entirely online and is considered an optional course within the doctoral programs.
The course covers a comprehensive set of scRNA-seq data analysis steps.
No prior experience in R programming is required, making the course accessible to anyone planning to use single-cell RNA-seq data. The exercises utilize Seurat tools within the Chipster software.
This is a field-specific doctoral-level course focusing on practical, hands-on single-cell RNA sequencing (scRNA-seq) data analysis methods. You will learn to process, normalize, cluster, and identify cell types from scRNA-seq data.
The course is primarily for doctoral researchers within the Health and Biosciences Doctoral Programmes at the University of Oulu. Priority is given to these researchers for registration.
No prior R programming experience is necessary. The course uses Seurat tools within the Chipster software, and is designed to be accessible for those planning to work with scRNA-seq data.
Registration is done through the Peppi system. The registration deadline was January 12th, 2024. The course was scheduled for January 24th - 25th, 2024.
This is an optional, field-specific doctoral course delivered entirely online. It consists of 1 ECTS credit and the course dates were January 24th - 25th, 2024.