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Seurat RunTSNE (version 3.2.3+galaxy0)
RData, Loom or AnnData
Input as RDS file with Seurat 3 object
Seurat, Single Cell Experiment or Loom
A file with gene names to use in construction of SNN graph if building directly based on expression data rather than a dimensionally reduced representation (i.e. PCs).
Advanced Options
Advanced Options 0

What it does

Seurat is a toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. It is developed and maintained by the Satija Lab at NYGC. 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.

Run t-SNE dimensionality reduction on selected features. Has the option of running in a reduced dimensional space (i.e. spectral tSNE, recommended), or running based on a set of genes.


  • RDS object


  • Seurat RDS object

Version history

3.2.3+galaxy0: Moves to Seurat 3.2.3 and introduce convert method, improving format interconversion support.

3.1.2_0.0.8: Update metadata parsing

3.1.1_0.0.7: Exposes perplexity and enables tab input.

3.1.1_0.0.6+galaxy0: Moved to Seurat 3.

Find clusters: removed dims-use, k-param, prune-snn.

2.3.1+galaxy0: Improved documentation and further exposition of all script's options. Pablo Moreno, Jonathan Manning and Ni Huang, Expression Atlas team at EMBL-EBI Parts obtained from wrappers from Christophe Antoniewski( and Lea Bellenger(

0.0.1: Initial contribution. Maria Doyle (