Overview
Seurat is an R package that facilitates the quality control, analysis, and exploration of single-cell RNA-seq data. It aims to enable researchers to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements and to integrate diverse types of single-cell data, including scATAC-seq data. Seurat introduces methods for integrative multimodal analysis, flexible and scalable analysis of large datasets, and analysis of spatial datasets, supporting both sequencing-based and imaging-based approaches. Designed with clear visualizations and interpretable results, Seurat is intended for both dry-lab and wet-lab researchers in the field of single-cell genomics and transcriptomics. It is developed and maintained by the Satija lab and is released under the MIT license.
Common tasks