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- Tools for Single Cell Genomics • Seurat - Satija Lab
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
- Georges Seurat - Wikipedia
He devised the painting techniques known as chromoluminarism and pointillism and used conté crayon for drawings on paper with a rough surface
- Introduction to scRNA-Seq with R (Seurat) - Cancer
Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data
- Package Seurat reference manual
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
- Getting Started with Seurat - Satija Lab
Learn to explore spatially-resolved transcriptomic data in high-definition from 10x Visium HD Here we provide a series of short vignettes to demonstrate a number of features that are commonly used in Seurat
- Seurat package - RDocumentation
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
- Introduction to single-cell analysis with Seurat v5
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
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