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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 Georges Pierre Seurat (UK: ˈ s ɜːr ɑː,-ə SUR-ah, -ə, US: s ʊ ˈ r ɑː suu-RAH; [1] [2] [3] [4] [5] French: [ʒɔʁʒ pjɛʁ sœʁa]; [6] 2 December 1859 – 29 March 1891) was a French post-Impressionist artist
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 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 ---https: satijalab org seurat Advantages: beginning-to-end workflows
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
CRAN: Package Seurat - The Comprehensive R Archive Network 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 v4 - Satija Lab A basic overview of Seurat that includes an introduction to common analytical workflows An introduction to working with multi-modal datasets in Seurat Learn to explore spatially-resolved transcriptomic data with examples from 10x Visium and Slide-seq v2
8 Single cell RNA-seq analysis using Seurat 8 Single cell RNA-seq analysis using Seurat This vignette should introduce you to some typical tasks, using Seurat (version 3) eco-system Seurat vignettes are available here; however, they default to the current latest Seurat version (version 4)
Introduction to single-cell RNA-seq analysis using Seurat - Part 1 1 3 1 The Seurat Object There are two important components of the Seurat object to be aware of: The @meta data slot, which stores metadata for our droplets cells (e g which batch of samples they belong to, total counts, total number of detected genes, etc )