ZarrArray

This is the released version of ZarrArray; for the devel version, see ZarrArray.

All versions

3.24 (devel), 3.23 (release)

Bring Zarr datasets in R as DelayedArray objects

Bioconductor version: Release (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")):

Hervé Pagès, Mike Smith, Hugo Gruson, Artür Manukyan. ZarrArray: Bring Zarr datasets in R as DelayedArray objects. doi:10.18129/B9.bioc.ZarrArray, R package version 1.0.1, https://bioconductor.org/packages/ZarrArray.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

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
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	DataImport, DataRepresentation, Infrastructure, Software
Version	1.0.1
In Bioconductor since	BioC 3.23 (R-4.6) (< 6 months)
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	paws.storage, HDF5Array, testthat, knitr, rmarkdown, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me	ImageArray
Suggests Me	DelayedArray, Rarr
Links To Me
Build Report	Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	ZarrArray_1.0.1.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
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
Package Short Url	https://bioconductor.org/packages/ZarrArray/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.23	Source Archive