Dear all,
Join our online course on Single-Cell RNA-Seq Analysis with R/Bioconductor (Nov 4-8).
Course website: https://www.physalia-courses.org/courses-workshops/course18/
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 in pre-processing, analysis and interpretation of scRNAseq data.
At the end of this course, attendees will be able to:
Understand the pros/cons of different single-cell RNA-seq methods
Process and QC of scRNA-seq data
Normalize scRNA-seq data
Correct for batch effects
Visualise the data and applying dimensionality reduction
Perform cell clustering and annotation
Perform differential expression analysis
Infer pseudo-time and perform temporal differential expression
