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Find Markers and Cluster Identification in Single-Cell RNA-Seq Using Seurat - Workflow Tutorial

Bioinformagician via YouTube

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This workflow tutorial demonstrates how to use Seurat in R to identify canonical and differentially expressed markers in clustered single-cell RNA-seq data. It covers cluster annotation, conserved markers across conditions, and treatment-related expression changes.

Syllabus

Intro
findMarkers, findAllMarkers, findConservedMarkers
Study design
Load data
Visualize by clusters and condition
findAllMarkers
DefaultAssay 'RNA'
findConservedMarkers for cluster 3
Visualize canonical markers in a FeaturePlot
RenameIdents
Annotating clusters and marker databases
Annotating rest of the clusters
Perform differential expression in CD16 Monocytes between conditions findMarkers
Visualize markers identified by findConservedMarkers vs findMarkers

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bioinformagician

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