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: 2.1.0
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, NMF, dtw, SDMTools, plotly, diffusionMap, Hmisc, tidyr, ggjoy
LinkingTo: Rcpp, RcppEigen, RcppProgress
Suggests: testthat, SummarizedExperiment, MAST, DESeq2
Published: 2017-10-12
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 gmail.com>
BugReports: https://github.com/satijalab/seurat/issues
License: GPL-3 | file LICENSE
URL: http://www.satijalab.org/seurat, https://github.com/satijalab/seurat
NeedsCompilation: yes
SystemRequirements: Java (>= 1.6)
Materials: README NEWS
CRAN checks: Seurat results

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Seurat to link to this page.