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SpatialData: an open and universal data framework for spatial omics

  • Luca Marconato,
  • Giovanni Palla,
  • Kevin A. Yamauchi,
  • Isaac Virshup,
  • Elyas Heidari,
  • Tim Treis,
  • Wouter-Michiel Vierdag,
  • Marcella Toth,
  • Sonja Stockhaus,
  • Rahul B. Shrestha,
  • Benjamin Rombaut,
  • Lotte Pollaris,
  • Laurens Lehner,
  • Harald Vöhringer,
  • Ilia Kats,
  • Yvan Saeys,
  • Sinem K. Saka,
  • Wolfgang Huber,
  • Moritz Gerstung,
  • Josh Moore,
  • Fabian J. Theis,
  • Oliver Stegle

摘要

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.