ZarrArray

This is the development version of ZarrArray; to use it, please install the devel version of Bioconductor.

Bring Zarr datasets in R as DelayedArray objects

Bioconductor version: Development (3.23)

The ZarrArray package leverages the Rarr package to bring Zarr datasets in R as DelayedArray objects. The main class in the package is the ZarrArray class. A ZarrArray object is an array-like object that represents a Zarr dataset in R. ZarrArray objects are DelayedArray derivatives and therefore support all operations (delayed or block-processed) supported by DelayedArray objects.

Author: Hervé Pagès [aut, cre] ORCID: 0009-0002-8272-4522 , Mike Smith [aut] ORCID: 0000-0002-7800-3848 , Hugo Gruson [aut] ORCID: 0000-0002-4094-1476 , Artür Manukyan [aut] ORCID: 0000-0002-0441-9517 , Levi Waldron [fnd] ORCID: 0000-0003-2725-0694

Maintainer: Hervé Pagès <hpages.on.github at gmail.com>

Citation (from within R, enter citation("ZarrArray")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ZarrArray")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ZarrArray")

ZarrArray overview	HTML	R Script
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	DataImport, DataRepresentation, Infrastructure, Software
Version	0.99.3
In Bioconductor since	BioC 3.23 (R-4.6)
License	Artistic-2.0
Depends	R (>= 3.4), methods, SparseArray, DelayedArray
Imports	stats, tools, BiocGenerics, S4Vectors, IRanges, S4Arrays, Rarr(>= 1.11.33)
System Requirements
URL	https://bioconductor.org/packages/ZarrArray
Bug Reports	https://github.com/Bioconductor/ZarrArray/issues

Suggests	HDF5Array, testthat, knitr, rmarkdown, BiocStyle
Linking To
Enhances
Depends On Me
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	ZarrArray_0.99.3.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64)
Source Repository	git clone https://git.bioconductor.org/packages/ZarrArray
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ZarrArray
Bioc Package Browser	https://code.bioconductor.org/browse/ZarrArray/
Package Short Url	https://bioconductor.org/packages/ZarrArray/
Package Downloads Report	Download Stats