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RNA-seq

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 Breda, The Netherlands: RNA-seq data analysis

The 9th edition of the RNA-seq Data Analysis course will be held on 8-12 April – 2024 in Breda, The Netherlands. This course covers the basic concepts and methods required for RNA-seq analysis. Particular attention is given to the data analysis pipelines for differential transcript expression and variant calling. The course consists of a mixture of lectures and Galaxy, Linux and R practicals. Also the potential of long-read based RNA-seq and AI based analysis enrichments will be explored.

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