TileDB-SOMA
Data storage API
Provides access to single-cell data at scale through a flexible, extensible API with storage and data access patterns
Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.
95 stars
12 watching
25 forks
Language: Python
last commit: 2 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 tiledb-inc/tiledb-py | Provides a Python interface to store and manage large datasets in a distributed, columnar storage system. | 190 |
| tiledb-inc/tiledb | A powerful storage engine for dense and sparse multi-dimensional arrays, providing efficient data modeling and access. | 1,878 |
| tiledb-inc/tiledb-bioimaging | A Python package for efficiently storing and querying biomedical imaging data in TileDB arrays. | 18 |
| tiledb-inc/tiledb-go | A Go interface to the TileDB storage manager | 51 |
 timoast/sinto | Tools for analyzing aligned single-cell data from sequencing experiments | 118 |
 dawe/schist | An interface to perform nested stochastic block model analysis on single-cell data using graph-tool methods. | 32 |
 rabadanlab/sctda | An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 |
| tiledb-inc/tiledb-csharp | C# bindings for TileDB Embedded storage engine | 16 |
| tiledb-inc/tiledb-vector-search | A serverless, scale-out vector similarity search and storage system with efficient database capabilities | 54 |
| tiledb-inc/tiledb-vcf | Efficient storage and retrieval of genomic variant-call data using TileDB Embedded | 90 |
| tiledb-inc/tiledb-java | A Java interface to a distributed columnar storage engine | 26 |
| tiledb-inc/tiledb-r | Provides an interface to the modern database TileDB from R. | 103 |
 iosonofabio/singlet | Analyzes single cell RNA sequence data with quantitative phenotypes | 13 |
 klarman-cell-observatory/scsva | Software package for interactive analysis and visualization of large single-cell omics datasets | 25 |
 opendatacube/datacube-core | A Python-based platform for integrated gridded data analysis from decades of Earth observation satellite data | 518 |