Version 2.3.2

• New functions for reading in and manipulating data
• Better support for and validation of assay data
• Compatability updates for ggplot2 v2.3.0

Version 2.3.1

Changes:

• Support for UMAP dimensional reduction technique
• New conversion functions
• Dependency update: requires R 3.4.0 or higher and Matrix 1.2-14 or higher
• Bug fixes, including memory enhancements to FetchData and AddModuleScore, as well as improvments to visualization functions

Version 2.3.0

Changes:

• Support for HTO demultiplexing
• Utility functions: TransferIdent, CombineIdent, SplitObject, vector.friendly
• C++ implementation for parts of BuildSNN
• Preliminary parallelization support (regression and JackStraw)
• Support for FItSNE
• MetaDE replaced with metap for combining p-values (MetaDE was removed from CRAN)
• NMF heatmaps replaced (NMF to be archived by CRAN)

Version 2.2.1

Changes:

• Support for multiple-dataset alignment with RunMultiCCA and AlignSubspace
• New methods for evaluating alignment performance
• MetaDE replaced with metap for combining p-values (MetaDE was removed from CRAN)
• NMF heatmaps replaced (NMF to be archived by CRAN)

Version 2.1.0

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

Version 2.0.1

Version 2.0.1 -- CRAN Release

Seurat is now available on CRAN. This version on Seurat is compatible with 2.0.0, but includes updated documentation, example data sets, and minor bug fixes. Installation can now be done with install.packages(). Binaries are no longer provided as they are built by CRAN. See the CRAN package page for Seurat here.

Version 2.0.0

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

Pre-release v2.0

Pre-release version of Seurat v2.0.

Additional documentation and vignettes for all new features in Seurat v2.0 will accompany a full release in the near future

Changes:

• Preprint released for integrated analysis of scRNA-seq across conditions, technologies and species
• Significant restructuring of code to support clarity and dataset exploration

Release Version 1.4.0

Major Changes:

• Added methods for negative binomial regression and differential expression testing for UMI count data
• New ways to merge and downsample Seurat objects

Version 1.3.0

Major Changes :

• Improved clustering approach
• All functions support sparse matrices
• Methods for removing unwanted sources of variation
• Consistent function names
• Updated visualizations