Liftoff.bio illustration — cat single cell

Seurat

The R toolkit for single-cell genomics

Seurat is the most widely used R toolkit for single-cell analysis, covering QC, normalisation, integration across datasets, clustering and multimodal/spatial workflows.

Example

1library(Seurat)
2pbmc <- CreateSeuratObject(counts = counts)
3pbmc <- NormalizeData(pbmc)
4pbmc <- FindVariableFeatures(pbmc)
5pbmc <- RunPCA(ScaleData(pbmc))
6pbmc <- FindClusters(FindNeighbors(pbmc, dims = 1:30))
7pbmc <- RunUMAP(pbmc, dims = 1:30)

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Liftoff.bio illustration — cat single cell
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Liftoff.bio illustration — cat libraries
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Bioconductor

2,000+ R packages for the analysis of genomic data

R package