Data Access & Loading

Note: The rest of this interactive tutorial uses the PBMC 3k dataset as an example. You can either download it yourself from 10x Genomics or use the built-in copy available via the SeuratData package.

The below script loads the data using SeuratData.

# Loading the data
install.packages("SeuratData")
library(SeuratData)
InstallData("pbmc3k")
data("pbmc3k")
pbmc.data <- pbmc3k

nrow(pbmc.data)

print(pbmc.data[1,1:5])

# Initialize the Seurat object with the raw (non-normalized) data
pbmc <- CreateSeuratObject(counts = pbmc.data, project = "pbmc3k", min.cells = 3, min.features = 200)

pbmc
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