Your browser doesn't support javascript.
loading
SpatialData: an open and universal data framework for spatial omics.
Marconato, Luca; Palla, Giovanni; Yamauchi, Kevin A; Virshup, Isaac; Heidari, Elyas; Treis, Tim; Vierdag, Wouter-Michiel; Toth, Marcella; Stockhaus, Sonja; Shrestha, Rahul B; Rombaut, Benjamin; Pollaris, Lotte; Lehner, Laurens; Vöhringer, Harald; Kats, Ilia; Saeys, Yvan; Saka, Sinem K; Huber, Wolfgang; Gerstung, Moritz; Moore, Josh; Theis, Fabian J; Stegle, Oliver.
Afiliación
  • Marconato L; European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
  • Palla G; Division of Computational Genomics and System Genetics, German Cancer Research Center, Heidelberg, Germany.
  • Yamauchi KA; Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany.
  • Virshup I; Institute of Computational Biology, Helmholtz, Center Munich, Munich, Germany.
  • Heidari E; TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.
  • Treis T; Department of Biosystems, Science and Engineering, ETH Zürich, Basel, Switzerland.
  • Vierdag WM; Swiss Institute of Bioinformatics, Basel, Switzerland.
  • Toth M; Institute of Computational Biology, Helmholtz, Center Munich, Munich, Germany.
  • Stockhaus S; European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
  • Shrestha RB; Division of Computational Genomics and System Genetics, German Cancer Research Center, Heidelberg, Germany.
  • Rombaut B; Division of Artificial Intelligence in Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Pollaris L; Division of Computational Genomics and System Genetics, German Cancer Research Center, Heidelberg, Germany.
  • Lehner L; Institute of Computational Biology, Helmholtz, Center Munich, Munich, Germany.
  • Vöhringer H; European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
  • Kats I; Institute of Computational Biology, Helmholtz, Center Munich, Munich, Germany.
  • Saeys Y; Institute of Computational Biology, Helmholtz, Center Munich, Munich, Germany.
  • Saka SK; TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
  • Huber W; Institute of Computational Biology, Helmholtz, Center Munich, Munich, Germany.
  • Gerstung M; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
  • Moore J; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
  • Theis FJ; VIB Center for AI and Computational Biology, Ghent, Belgium.
  • Stegle O; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
Nat Methods ; 2024 Mar 20.
Article en En | MEDLINE | ID: mdl-38509327
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.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Nat Methods Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Nat Methods Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2024 Tipo del documento: Article País de afiliación: Alemania