SeuratObject: Data Structures for Single Cell Data

Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. 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 Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031> for more details.

Version: 4.0.0
Depends: R (≥ 3.5.0)
Imports: grDevices, grid, Matrix (≥ 1.2.18), methods, Rcpp (≥ 1.0.5), rlang (≥ 0.4.7), sctransform, stats, tools, utils
LinkingTo: Rcpp, RcppEigen
Suggests: tinytest
Published: 2021-01-15
Author: Rahul Satija ORCID iD [aut], Andrew Butler ORCID iD [aut], Paul Hoffman ORCID iD [aut, cre], Tim Stuart ORCID iD [aut], Jeff Farrell [ctb], Shiwei Zheng ORCID iD [ctb], Christoph Hafemeister ORCID iD [ctb], Patrick Roelli [ctb], Yuhan Hao ORCID iD [ctb]
Maintainer: Paul Hoffman <nygcSatijalab at>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: SeuratObject results


Reference manual: SeuratObject.pdf
Package source: SeuratObject_4.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: SeuratObject_4.0.0.tgz, r-oldrel: SeuratObject_4.0.0.tgz

Reverse dependencies:

Reverse imports: Seurat, Signac
Reverse suggests: VAM


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