SpatialData: an open and universal data framework for spatial omics
German Cancer Research Center · Heidelberg University · +10 more institutions
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…
Citation impact
- FWCI
- 33.77
- Percentile
- 100%
- References
- 40
Authors
22- LMLuca Marconato
German Cancer Research Center, Heidelberg University, European Molecular Biology Laboratory
- GPGiovanni Palla
Helmholtz Zentrum München, Technical University of Munich
- KAKevin A. Yamauchi
SIB Swiss Institute of Bioinformatics, ETH Zurich
- IVIsaac Virshup
Helmholtz Zentrum München
- EHElyas Heidari
German Cancer Research Center, Heidelberg University, European Molecular Biology Laboratory
Topics & keywords
- Computer science
- Context (archaeology)
- Representation (politics)
- Omics
- Spatial analysis
- External Data Representation
- Data science
- Data mining
- Good health and well-being
Funding
- SVSilicon Valley Community Foundation
- DKDeutsches Krebsforschungszentrum
- JHJoachim Herz Stiftung
- EMEuropean Molecular Biology Laboratory
- CZChan Zuckerberg InitiativeAwards: 2021-237467, 2019-207338, 2022-310144, 2019-207272
- DFDeutsche ForschungsgemeinschaftAwards: NFDI4BIOIMAGE, 501864659
- BFBundesministerium für Bildung und Forschung
- FWFonds Wetenschappelijk Onderzoek
- VRVlaamse regering
- GNGerman Network for Bioinformatics Infrastructure
- BOBoard of the Swiss Federal Institutes of Technology
- HAHelmholtz Artificial Intelligence Cooperation UnitAward: ZT-I-PF-5-01