What it does
Seurat is a toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. It is developed and maintained by the Satija Lab at NYGC. 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. See the Seurat Guided Clustering tutorial for more information.
Inputs
- Gene count matrix in TAB-separated format
- or
- RNA and Protein count matrices in TAB-separated formats
Outputs
- HTML of plots
Optionally you can choose to output
- R commands used to generate plots printed alongside figures