SCArray
Large-scale single-cell omics data manipulation with GDS files
Bioconductor version: 3.23 · Package version: 1.20.0
Provides large-scale single-cell omics data manipulation using Genomic Data Structure (GDS) files. It combines dense and sparse matrices stored in GDS files and the Bioconductor infrastructure framework (SingleCellExperiment and DelayedArray) to provide out-of-memory data storage and large-scale manipulation using the R programming language.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SCArray")Details
| Maintainer | Xiuwen Zheng <xiuwen.zheng@abbvie.com> |
| Author | Xiuwen Zheng [aut, cre] (ORCID: <https://orcid.org/0000-0002-1390-0708>) |
| License | GPL-3 |
| URL | https://github.com/AbbVie-ComputationalGenomics/SCArray |
| Downloads rank | 281 |
| Source branch | RELEASE_3_23 |
| biocViews | DataImport, DataRepresentation, Infrastructure, RNASeq, SingleCell, Software |
Documentation
- SCArray -- Large-scale single-cell omics data manipulation with GDS files
- Large-scale single-cell omics data manipulation with GDS files
Download
Dependencies
Depends: R (>= 3.5.0), gdsfmt (>= 1.36.0), methods, DelayedArray (>= 0.31.5)
Imports: S4Vectors, utils, Matrix, SparseArray (>= 1.5.13), BiocParallel, DelayedMatrixStats, SummarizedExperiment, SingleCellExperiment, BiocSingular
Suggests: BiocGenerics, scater, scuttle, uwot, RUnit, knitr, markdown, rmarkdown, rhdf5, HDF5Array
Reverse dependencies
Depends On Me (1): SCArray.sat