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
April 12, 2019
Version 3.0
Changes:
Preprint published describing new methods for identifying anchors across single-cell datasets
Restructured Seurat object with native support for multimodal data
Parallelization support via future
July 20, 2018
Version 2.4
Changes:
Java dependency removed and functionality rewritten in Rcpp
March 22, 2018
Version 2.3
Changes:
New utility functions
Speed and efficiency improvments
January 10, 2018
Version 2.2
Changes:
Support for multiple-dataset alignment with RunMultiCCA and AlignSubspace
New methods for evaluating alignment performance
October 12, 2017
Version 2.1
Changes:
Support for using MAST and DESeq2 packages for differential expression testing in FindMarkers
Support for multi-modal single-cell data via @assay slot
July 26, 2017
Version 2.0
Changes:
Preprint released for integrated analysis of scRNA-seq across conditions, technologies and species
Significant restructuring of code to support clarity and dataset exploration
Methods for scoring gene expression and cell-cycle phase
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