Seurat (3.0.2)

0 users

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.

Maintainer: Paul Hoffman
Author(s): Rahul Satija [aut] (<>), Andrew Butler [aut] (<>), Paul Hoffman [aut, cre] (<>), Tim Stuart [aut] (<>), Jeff Farrell [ctb], Shiwei Zheng [ctb] (<>), Christoph Hafemeister [ctb] (<>), Patrick Roelli [ctb]

License: GPL-3 | file LICENSE

Uses: ape, cluster, cowplot, fitdistrplus, future, future.apply, ggplot2, ggrepel, ggridges, ica, igraph, irlba, KernSmooth, lmtest, MASS, Matrix, metap, pbapply, plotly, png, RANN, RColorBrewer, Rcpp, reticulate, rlang, ROCR, rsvd, Rtsne, scales, sctransform, SDMTools, tsne, VGAM, testthat, hdf5r
Reverse suggests: BisqueRNA, clustree

Released about 1 month ago.

11 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of Seurat yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for Seurat on google, google scholar, r-help, r-devel.

Visit Seurat on R Graphical Manual.