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
Description
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 https://github.com/kendomaniac/rCASC. Participants will delve into experimental design principles, quality control for single-cell sequence outputs, and data reduction and clustering techniques to identify cell subpopulations. The course also offers an overview of the computational theory behind scRNA-seq tools, empowering participants to make informed decisions during analysis. Practical, hands-on sessions will allow attendees to work with real datasets and integrate results to extract meaningful biological insights. Venue: University of Bari
The course includes a fee of 150 Euros for academic attendees and 400 Euros for industry professionals. Participants are expected to pay their own travel and accommodation costs (if any).
Requirements
No prior knowledge of statistics or computing skills is required. However, a basic understanding of R programming is preferred. Prior knowledge of single-cell sequencing technologies is required.
Learning outcomes
- Describe the importance of experimental design to ask sensible biological questions at single cell level.
- Assess the quality of your data.
- Describe limits and strength of clustering in scRNA-seq.
- Identify genes driving cluster formation in scRNA-seq.
- Annotate cell types
- Performe batch correction and experiment integration on scRNA-seq data.