Dates and Format: Online 6-10 June 2022
- Dr. Orr Ashenberg (Broad Institute, USA)
- Dr. Jacques Serizay (Institut Pasteur, FR)
- Dr. Arnav Mehta (MGH/DFCI and Broad Institute, USA)
This course will introduce biologists and bioinformaticians to the field of single-cell RNA sequencing. We will cover a range of software and analysis workflows that extend over the spectrum from the best practices in the filtering scRNAseq data to the downstream analysis of cell clusters and temporal ordering. This course will help the attendees gain accurate insights into pre-processing, analysis and interpretation of scRNAseq data.
We will start by introducing general concepts about single-cell RNA-sequencing. From there, we will then continue to describe the main analysis steps to go from raw sequencing data to processed and usable data. Finally, we will focus more specifically on the different analyses strategies to use in order to extract information from genomic datasets such as Hi-C, ATAC-seq or ChIP-seq.
Throughout the course, bash tools and R/Bioconductor packages will be used to analyse datasets and learn new approaches.