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Beta release of Seurat 4.0

We are excited to release a beta version of Seurat v4.0! This update brings the following new features and functionality:

Additional speed and usability updates: We have made minor changes in v4, primarily to improve the performance of Seurat v4 on large datasets. These changes substantially improve the speed and memory requirements, but do not adversely impct downstream results. We provide a detailed description of key changes here. Users who wish to fully reproduce existing results can continue to do so by continuing to install Seurat v3.

We believe that users who are familiar with Seurat v3 should experience a smooth transition to Seurat v4. While we have introduced extensive new functionality, existing workflows, functions, and syntax are largely unchanged in this update. In addition, Seurat objects that have been previously generated in Seurat v3 can be seamlessly loaded into Seurat v4 for further analysis.

Official release of Seurat 3.0

On April 16, 2019 - we officially updated the Seurat CRAN repository to release 3.0!

We have been working on this update for the past year, and are excited to introduce new features and functionality, in particular:

While we are excited for users to upgrade, we are committed to making this transition as smooth as possible, and to ensure that users can complete existing projects in Seurat v2 prior to upgrading:

About Seurat

Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data. Seurat aims to enable users to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements, and to integrate diverse types of single-cell data.

If you use Seurat in your research, please considering citing:

All methods emphasize clear, attractive, and interpretable visualizations, and were designed to be easily used by both dry-lab and wet-lab researchers.

Seurat is developed and maintained by the Satija lab, in particular by Andrew Butler, Paul Hoffman, Tim Stuart, Christoph Hafemeister, and Shiwei Zheng, and is released under the GNU Public License (GPL 3.0). We are also grateful for significant ideas and code from Jeff Farrell, Karthik Shekhar, and other generous contributors.


October 13, 2020 Version 4.0 beta released

July 16, 2020 Version 3.2 released

** Support for visualization and analysis of spatially resolved datasets

August 20, 2019 Version 3.1 released

April 16, 2019 Version 3.0 released

November 2, 2018 Version 3.0 alpha released

March 23, 2018 Version 2.3 released

January 10, 2018: Version 2.2 released

October 16, 2017: Version 2.1 released

July 26, 2017: Version 2.0 released

October 4, 2016: Version 1.4 released

August 22, 2016: Version 1.3 released

May 21, 2015: Drop-Seq manuscript published. Version 1.2 released

April 13, 2015: Spatial mapping manuscript published. Version 1.1 released