Overview

Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data. Seurat aims to enable users to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements, and to integrate diverse types of single-cell data.

Key Capabilities

• Preprocessing: QC metrics, normalization, and scaling.
• Dimensionality Reduction: PCA, t-SNE, and UMAP implementation.
• Clustering: Graph-based clustering to identify cell types.
• Integration: Powerful methods to integrate datasets across conditions, technologies, or species (the "anchor" method).

Why Seurat?

It has massive community support, comprehensive tutorials, and is frequently updated to support new modalities like spatial transcriptomics (Seurat v5).