SCArray
This is the development version of SCArray; for the stable release version, see SCArray.
Large-scale single-cell RNA-seq data manipulation with GDS files
Bioconductor version: Development (3.19)
Provides large-scale single-cell RNA-seq 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.
Author: Xiuwen Zheng [aut, cre]
Maintainer: Xiuwen Zheng <xiuwen.zheng at abbvie.com>
citation("SCArray")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SCArray")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | DataImport, DataRepresentation, Infrastructure, RNASeq, SingleCell, Software |
Version | 1.11.1 |
In Bioconductor since | BioC 3.13 (R-4.1) (3 years) |
License | GPL-3 |
Depends | R (>= 3.5.0), gdsfmt(>= 1.36.0), methods, DelayedArray(>= 0.28.0) |
Imports | S4Vectors, utils, Matrix, BiocParallel, DelayedMatrixStats, SummarizedExperiment, SingleCellExperiment, BiocSingular |
System Requirements | |
URL | https://github.com/AbbVie-ComputationalGenomics/SCArray |
See More
Suggests | BiocGenerics, scater, scuttle, uwot, RUnit, knitr, markdown, rmarkdown, rhdf5, HDF5Array |
Linking To | |
Enhances | |
Depends On Me | SCArray.sat |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/SCArray |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SCArray |
Package Short Url | https://bioconductor.org/packages/SCArray/ |
Package Downloads Report | Download Stats |