Giotto: a toolbox for integrative analysis and visualization of spatial expression data
Spatial transcriptomic and proteomic technologies have provided new opportunities to investigate cells in their native microenvironment. Here we present Giotto, a comprehensive and open-source toolbox for spatial data analysis and visualization. The analysis module provides end-to-end analysis by im...
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Veröffentlicht in: | Genome Biology 2021-03, Vol.22 (1), p.78-78, Article 78 |
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Sprache: | eng |
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Zusammenfassung: | Spatial transcriptomic and proteomic technologies have provided new opportunities to investigate cells in their native microenvironment. Here we present Giotto, a comprehensive and open-source toolbox for spatial data analysis and visualization. The analysis module provides end-to-end analysis by implementing a wide range of algorithms for characterizing tissue composition, spatial expression patterns, and cellular interactions. Furthermore, single-cell RNAseq data can be integrated for spatial cell-type enrichment analysis. The visualization module allows users to interactively visualize analysis outputs and imaging features. To demonstrate its general applicability, we apply Giotto to a wide range of datasets encompassing diverse technologies and platforms. |
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ISSN: | 1474-760X 1474-7596 1474-760X |
DOI: | 10.1186/s13059-021-02286-2 |