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.
Seurat is an R toolkit for single-cell genomics, developed and maintained by the Satija Lab at NYGC. We are excited to release Seurat v5! This update introduces new functionality for spatial, multimodal, and scalable single-cell analysis.
A toolkit for quality control, analysis, and exploration of single cell RNA sequencing 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.
Inspired by recently published research in optical and color theory, Georges Seurat distinguished his art from what the Impressionists considered a more intuitive painting approach by developing his own “scientific” style called Pointillism.
Georges Seurat (born , Paris, France—died , Paris) was a painter and founder of the 19th-century French school of Neo-Impressionism whose technique for portraying the play of light using tiny brushstrokes of contrasting colors became known as Pointillism.
Georges Seurat | Biography, Art, Paintings, A Sunday on La Grande Jatte ...
Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data.
Explore the power of single-cell RNA-seq analysis with Seurat v5 in this hands-on tutorial, guiding you through data preprocessing, clustering, and visualization in R.
We provide a series of vignettes, tutorials, and analysis walkthroughs to help users get started with Seurat. You can also check out our Reference page which contains a full list of functions available to users.