Single cell RNAseq Data analysis
Date: 12 - 13 September 2024
Single cell RNA-Seq offers many advantages over bulk RNA-Seq, but the richer data produced requires a more complex analysis. In this course we will learn about the advantages of single cell sequencing, and when it may be an appropriate choice, how to perform common types of data analysis, and to spot and deal with potential problems. We will analyse 10X genomics data with the R package Seurat.
Keywords: Gene expression, Transcriptomics, single cell
Organizer: Edinburgh Genomics
Target audience: Graduates, postgraduates, and PIs, who are using, or planning to use, single cell RNA-seq technology in their research and want to learn how to process and analyse single cell RNA-seq data.
Event types:
- Workshops and courses
Activity log