Journal Article DKFZ-2024-00579

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SpatialData: an open and universal data framework for spatial omics.

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2025
Nature Publishing Group London [u.a.]

Nature methods 22(1), 58-62 () [10.1038/s41592-024-02212-x]
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Abstract: Spatially resolved omics technologies are transforming our understanding of biological tissues. However, the handling of uni- and multimodal spatial omics datasets remains a challenge owing to large data volumes, heterogeneity of data types and the lack of flexible, spatially aware data structures. Here we introduce SpatialData, a framework that establishes a unified and extensible multiplatform file-format, lazy representation of larger-than-memory data, transformations and alignment to common coordinate systems. SpatialData facilitates spatial annotations and cross-modal aggregation and analysis, the utility of which is illustrated in the context of multiple vignettes, including integrative analysis on a multimodal Xenium and Visium breast cancer study.

Classification:

Note: #EA:B260#LA:B260# / 2025 Jan;22(1):58-62

Contributing Institute(s):
  1. B260 Bioinformatik der Genomik und Systemgenetik (B260)
  2. Künstl. Intelligenz in der Onkologie (B450)
Research Program(s):
  1. 312 - Funktionelle und strukturelle Genomforschung (POF4-312) (POF4-312)

Appears in the scientific report 2024
Database coverage:
Medline ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; DEAL Nature ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 40 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2024-03-22, last modified 2025-03-26


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