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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
- 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
- Georges Seurat Paintings, Bio, Ideas | TheArtStory
Georges Seurat is the pioneer of technique of painting in softly flickering, small dots or strokes of color, called Pointillism
- Georges Seurat - The Art Institute of Chicago
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
- SEURAT: Visual analytics for the integrative analysis of microarray data
SEURAT is a software tool which provides interactive visualization capability for the integrated analysis of high-dimensional gene expression data Gene expression data can be analyzed together with associated clinical data, array CGH (comparative genomic hybridization), SNP array (single nucleotide polymorphism) data and available gene
- 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
- 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 )
- Seurat standard analysis of single cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) has become a widely used technique that allows researchers to profile the gene expression and study molecular biology at the cellular level It provides biological resolution that cannot be achieved with conventional bulk RNA-seq experiments on cell populations
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