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Home/Tasks/Seurat
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Seurat

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Quick Tool Decision

Should you use Seurat?

Seurat is an R package designed for single-cell RNA-seq data analysis, exploration, and integration of diverse single-cell data types.

Category

Science & Research

Data confidence: release and verification fields are source-audited when available; other summary fields are community-aggregated.

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Overview

Seurat is an R package that facilitates the quality control, analysis, and exploration of single-cell RNA-seq data. It aims to enable researchers to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements and to integrate diverse types of single-cell data, including scATAC-seq data. Seurat introduces methods for integrative multimodal analysis, flexible and scalable analysis of large datasets, and analysis of spatial datasets, supporting both sequencing-based and imaging-based approaches. Designed with clear visualizations and interpretable results, Seurat is intended for both dry-lab and wet-lab researchers in the field of single-cell genomics and transcriptomics. It is developed and maintained by the Satija lab and is released under the MIT license.

Common tasks

Quality control of single-cell RNA-seq dataNormalization and scaling of single-cell dataDimensionality reduction (PCA, t-SNE, UMAP)Clustering of cells based on gene expression profilesDifferential expression analysis to identify marker genesVisualization of single-cell dataIntegration of multiple single-cell datasets

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