Seurat is an R toolkit for single cell genomics, developed and maintained by the Satija Lab at NYGC.

Instructions, documentation, and tutorials can be found at:

• https://www.satijalab.org/seurat

Seurat is also hosted on GitHub, you can view and clone the repository at

• https://github.com/satijalab/seurat

Seurat has been successfully installed on Mac OS X, Linux, and Windows, using the devtools package to install directly from GitHub

Improvements and new features will be added on a regular basis, please contact [email protected] with any questions or if you would like to contribute

Version History

October 4, 2016

• Version 1.4 released
• Changes:
  • Improved tools for cluster evaluation/visualizations
  • Methods for combining and adding to datasets

August 22, 2016:

• Version 1.3 released
• Changes :
  • Improved clustering approach - see FAQ for details
  • All functions support sparse matrices
  • Methods for removing unwanted sources of variation
  • Consistent function names
  • Updated visualizations

May 21, 2015:

• Drop-Seq manuscript published. Version 1.2 released
• Changes :
  • Added support for spectral t-SNE and density clustering
  • New visualizations - including pcHeatmap, dot.plot, and feature.plot
  • Expanded package documentation, reduced import package burden
  • Seurat code is now hosted on GitHub, enables easy install through devtools
  • Small bug fixes

April 13, 2015:

• Spatial mapping manuscript published. Version 1.1 released (initial release)