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
Hauptverfasser: Dries, Ruben, Zhu, Qian, Dong, Rui, Eng, Chee-Huat Linus, Li, Huipeng, Liu, Kan, Fu, Yuntian, Zhao, Tianxiao, Sarkar, Arpan, Bao, Feng, George, Rani E, Pierson, Nico, Cai, Long, Yuan, Guo-Cheng
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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.
ISSN:1474-760X
1474-7596
1474-760X
DOI:10.1186/s13059-021-02286-2