SpatialData

SpatialData establishes a unified and extensible multiplatform file-format for processing spatial omics data with lazy representation of larger-than-memory data, transformations and alignment to common coordinate systems.

Key Features:

• FAIR Storage Format: SpatialData provides a FAIR storage format for spatial omics datasets.
• Lazy Representation: SpatialData implements lazy representation of larger-than-memory data.
• Transformations and Alignment: SpatialData supports transformations and alignment to common coordinate systems.
• Spatial Annotations: SpatialData facilitates spatial annotations.
• Cross-Modal Aggregation and Analysis: SpatialData enables cross-modal aggregation and analysis.
• Python Libraries: SpatialData provides Python libraries for access, alignment, and processing of spatial datasets.

Scientific Applications:

• Integrative Analysis: SpatialData supports integrative analysis on multimodal Xenium and Visium breast cancer studies.
• Cross-Modal Integration: SpatialData facilitates cross-modal integration of spatial datasets.
• Data Aggregation: SpatialData enables data aggregation for spatial omics analysis.

Methodology:

SpatialData uses a unified and extensible multiplatform file-format with lazy representation of larger-than-memory data, transformations and alignment to common coordinate systems.