SCArray

SCArray provides large-scale single-cell omics data manipulation using Genomic Data Structure (GDS) files.

Key Features:

• GDS File Integration: Combines dense and sparse matrices stored in GDS files for single-cell omics data.
• Bioconductor Framework Compatibility: Integrates with SingleCellExperiment and DelayedArray infrastructure.
• Out-of-Memory Data Storage: Enables large-scale data manipulation without loading entire datasets into memory.
• R Programming Language Support: Provides data manipulation capabilities using the R programming language.

Scientific Applications:

• Large-Scale Single-Cell Omics Analysis: Facilitates manipulation of large-scale single-cell omics datasets that exceed available memory.

Methodology:

SCArray combines dense and sparse matrices stored in GDS files with the Bioconductor infrastructure framework (SingleCellExperiment and DelayedArray) to provide out-of-memory data storage and large-scale manipulation.