Bioconductor release scheduled for October 29

Rarr

This is the development version of Rarr; for the stable release version, see Rarr.

Read Zarr Files in R


Bioconductor version: Development (3.22)

The Zarr specification defines a format for chunked, compressed, N-dimensional arrays. It's design allows efficient access to subsets of the stored array, and supports both local and cloud storage systems. Rarr aims to implement this specification in R with minimal reliance on an external tools or libraries.

Author: Mike Smith [aut, ccp] (ORCID: ORCID iD ORCID: 0000-0002-7800-3848 , Maintainer from 2022 to 2025.), Hugo Gruson [aut, cre] ORCID iD ORCID: 0000-0002-4094-1476 , Artür Manukyan [ctb], Sharla Gelfand [ctb], German Network for Bioinformatics Infrastructure - de.NBI [fnd]

Maintainer: Hugo Gruson <hugo.gruson at embl.de>

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

Installation

To install this package, start R (version "4.5") and enter:


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

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

BiocManager::install("Rarr")

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("Rarr")
Working with Zarr arrays in R HTML R Script
Reference Manual PDF

Details

biocViews DataImport, Software
Version 1.9.17
In Bioconductor since BioC 3.17 (R-4.3) (2.5 years)
License MIT + file LICENSE
Depends BiocGenerics, DelayedArray, R (>= 4.1.0)
Imports curl, jsonlite, methods, paws.storage, R.utils, utils, withr
System Requirements GNU make
URL https://github.com/grimbough/Rarr https://huber-group-embl.github.io/Rarr/
Bug Reports https://github.com/grimbough/Rarr/issues
See More
Suggests BiocStyle, covr, knitr, testthat (>= 3.0.0)
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 Rarr_1.9.17.tar.gz
Windows Binary (x86_64) Rarr_1.9.0.zip
macOS Binary (x86_64) Rarr_1.9.17.tgz
macOS Binary (arm64) Rarr_1.9.17.tgz
Source Repository git clone https://git.bioconductor.org/packages/Rarr
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Rarr
Bioc Package Browser https://code.bioconductor.org/browse/Rarr/
Package Short Url https://bioconductor.org/packages/Rarr/
Package Downloads Report Download Stats