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: 4.1.1
Depends: R (≥ 4.0.0)
Imports: future, future.apply, grDevices, grid, Matrix (≥ 1.3.3), methods, progressr, Rcpp (≥ 1.0.5), sp, rgeos, rlang (≥ 0.4.7), stats, tools, utils
LinkingTo: Rcpp, RcppEigen
Suggests: ggplot2, testthat
Published: 2022-08-29
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 <seurat at nygenome.org>
BugReports: https://github.com/mojaveazure/seurat-object/issues
License: MIT + file LICENSE
URL: https://mojaveazure.github.io/seurat-object/, https://github.com/mojaveazure/seurat-object
NeedsCompilation: yes
Materials: NEWS
CRAN checks: SeuratObject results

Documentation:

Reference manual: SeuratObject.pdf

Downloads:

Package source: SeuratObject_4.1.1.tar.gz
Windows binaries: r-devel: SeuratObject_4.1.1.zip, r-release: SeuratObject_4.1.1.zip, r-oldrel: SeuratObject_4.1.1.zip
macOS binaries: r-release (arm64): SeuratObject_4.1.1.tgz, r-oldrel (arm64): SeuratObject_4.1.1.tgz, r-release (x86_64): SeuratObject_4.1.1.tgz, r-oldrel (x86_64): SeuratObject_4.1.1.tgz
Old sources: SeuratObject archive

Reverse dependencies:

Reverse depends: tidyseurat
Reverse imports: bbknnR, CAMML, GeomxTools, Platypus, sccomp, scpoisson, scRepertoire, Seurat, Signac, SpatialDecon
Reverse suggests: cellpypes, escape, Nebulosa, scOntoMatch, singleCellHaystack, SPOTlight, VAM

Linking:

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