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scRNAseq Analysis in R with Seurat
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Table of contents
1
Getting started
2
Set up
3
Schedule
Single Cell Analysis
4
Load data
5
QC Filtering
6
Normalisation
7
PCAs and UMAPs
8
Dimensionality reduction
9
Introduction to Part 2
10
Data set integration with Harmony
11
Clustering
12
Cluster Markers
13
SingleR
14
Differential Expression
15
Wrapping up and next steps
Extra
16
Cell cycle Assignment
17
The Seurat object
Other Resources
18
Resources
Closing matter
19
Acknowledgements
20
Session info
View book source
3
Schedule
Day 1
Welcome and Housekeeping
Log in to VM
Background on ScRNAseq + R tools
Load data
QC filtering
Break
Normalisation
PCAs and UMAPs
Day 2
Integration
Clustering
Cluster Markers
Break
SingleR
Differential Expression
Final remarks and conclusion
2
Set up
4
Load data
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3
Schedule
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