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: * http://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 seuratpackage@gmail.com 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)
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