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) , Macosko E, Basu A, Satija R, et al (2015) , and Butler A and Satija R (2017) for more details.

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install.packages("Seurat")

2.0.1 by Paul Hoffman, a month ago

http://www.satijalab.org/seurat, https://github.com/satijalab/seurat

Report a bug at https://github.com/satijalab/seurat/issues

Browse source code at https://github.com/cran/Seurat

Authors: Rahul Satija [aut], Andrew Butler [aut], Paul Hoffman [aut, cre], Jeff Farrell [ctb], Shiwei Zheng [ctb], Christoph Hafemeister [ctb], Patrick Roelli [ctb]

Documentation: PDF Manual

GPL-3 | file LICENSE license

Imports methods, ROCR, stringr, mixtools, lars, ica, tsne, Rtsne, fpc, ape, VGAM, pbapply, igraph, FNN, caret, e1071, dplyr, RColorBrewer, MASS, irlba, reshape2, gridExtra, gplots, gdata, Rcpp, tclust, ranger, compositions, NMF, NMOF, dtw, SDMTools, plotly, diffusionMap, Hmisc, tidyr, ggjoy

Depends on ggplot2, cowplot, Matrix

Suggests testthat

Linking to Rcpp, RcppEigen, RcppProgress

System requirements: Java (>= 1.6)

See at CRAN

Seurat

Tools for Single Cell Genomics

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