Seurat: Tools for Single Cell Genomics

A toolkit for quality control, analysis, and exploration of single cell RNA sequencing 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. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Butler A and Satija R (2017) <doi:10.1101/164889> for more details.

Version: 2.2.1
Depends: R (≥ 3.2.0), ggplot2, cowplot, Matrix
Imports: methods, ROCR, stringr, mixtools, lars, ica, tsne, Rtsne, fpc, ape, VGAM, pbapply, igraph, FNN, caret, dplyr, RColorBrewer, MASS, irlba, reshape2, gridExtra, gplots, gdata, Rcpp, tclust, ranger, dtw, SDMTools, plotly, diffusionMap, Hmisc, tidyr, ggridges, metap
LinkingTo: Rcpp, RcppEigen, RcppProgress
Suggests: testthat, SummarizedExperiment, MAST, DESeq2
Published: 2018-02-14
Author: Rahul Satija [aut], Andrew Butler [aut], Paul Hoffman [aut, cre], Jeff Farrell [ctb], Shiwei Zheng [ctb], Christoph Hafemeister [ctb], Patrick Roelli [ctb]
Maintainer: Paul Hoffman <seuratpackage at>
License: GPL-3 | file LICENSE
NeedsCompilation: yes
SystemRequirements: Java (>= 6)
Materials: README NEWS
CRAN checks: Seurat results


Reference manual: Seurat.pdf
Package source: Seurat_2.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: Seurat_2.2.1.tgz
OS X Mavericks binaries: r-oldrel: Seurat_2.1.0.tgz
Old sources: Seurat archive


Please use the canonical form to link to this page.