Releases: satijalab/seurat
Releases · satijalab/seurat
Version 2.3.3
Changes:
- New HTOHeatmap function
- Removed unused compiler flags
- Support for custom PNG arguments for vector-friendly plotting
- Fix for 'NA'-labeled cells disappearing with custom color scales
- Moved several lightly-used packages from 'imports' to 'suggests'
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
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