slides
An introduction to scRNA-seq data analysis
Abstract
Single-cell RNA-seq
Questions this will address
- How are samples compared?
- How are cells captured?
- How does bulk RNA-seq differ from scRNA-seq?
- Why is clustering important?
Learning Objectives
- To understand the pitfalls in scRNA-seq sequencing and amplification, and how they are overcome.
- Know the types of variation in an analysis and how to control for them.
- Grasp what dimension reduction is, and how it might be performed.
- Be familiarised with the main types of clustering techniques and when to use them.
Licence: Creative Commons Attribution 4.0 International
Keywords: Single Cell
Target audience: Students
Resource type: slides
Version: 5
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- To understand the pitfalls in scRNA-seq sequencing and amplification, and how they are overcome.
- Know the types of variation in an analysis and how to control for them.
- Grasp what dimension reduction is, and how it might be performed.
- Be familiarised with the main types of clustering techniques and when to use them.
Date modified: 2024-08-08
Date published: 2021-01-29
Contributors: Mehmet Tekman
Scientific topics: Transcriptomics
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