Rarr
Rarr implements the Zarr specification in R for reading chunked, compressed, N-dimensional arrays with minimal reliance on external tools or libraries.
Key Features:
- Zarr format support: Enables access to data stored in the Zarr format, which uses chunked, compressed, N-dimensional arrays.
- Efficient subset access: Allows efficient reading of subsets of stored arrays without loading entire datasets into memory.
- Storage system compatibility: Supports access to both local and cloud storage systems.
- Minimal external dependencies: Implements the Zarr specification with minimal reliance on external tools or libraries.
Scientific Applications:
- Large-scale array data access: Facilitates working with large N-dimensional datasets in bioinformatics and scientific computing workflows in R.
- Cloud-based data analysis: Enables direct analysis of array data stored in cloud environments without local download requirements.
Methodology:
Rarr implements the Zarr specification natively in R with minimal reliance on external tools or libraries.
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 9/1/2026
- Last Updated:
- 10/2/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/RarrDownloads
- Source codehttps://github.com/Huber-group-EMBL/Rarr
- Source codehttps://huber-group-embl.github.io/Rarr/