2025-10-01 マウントサイナイ医療システム (MSHS)
Illustration depicting the conceptual and flexible integration of spatial datasets across multiple length scales and data modalities in Giotto Suite. Credit: Chen, Chávez-Fuentes, et al., Nature Methods
<関連情報>
- https://www.mountsinai.org/about/newsroom/2025/new-software-tool-aims-to-help-scientists-better-analyze-complex-spatial-data-from-tissues
- https://www.nature.com/articles/s41592-025-02817-w
Giotto Suite: マルチスケールかつ技術に依存しない空間マルチオミクス解析エコシステム Giotto Suite: a multiscale and technology-agnostic spatial multiomics analysis ecosystem
Jiaji G. Chen,Joselyn C. Chávez-Fuentes,Matthew O’Brien,Junxiang Xu,Edward C. Ruiz,Wen Wang,Iqra Amin,Jeffrey P. Sheridan,Sujung C. Shin,Sanjana V. Hasyagar,Irzam Sarfraz,Pratishtha Guckhool,Adriana Sistig,Veronica Jarzabek,Guo-Cheng Yuan & Ruben Dries
Nature Methods Published:01 October 2025
DOI:https://doi.org/10.1038/s41592-025-02817-w
Abstract
Emerging spatial multiomics technologies provide an increasingly large amount of information content at multiple scales. However, it remains challenging to efficiently represent and harmonize diverse spatial datasets. Here we present Giotto Suite, a suite of modular packages that provides scalable and extensible end-to-end solutions for multiscale and multiomic data analysis, integration and visualization. At its core, Giotto Suite is centered around an innovative data framework, allowing the representation and integration of spatial omics data in a technology-agnostic manner. Giotto Suite integrates molecular, morphology, spatial and annotated feature information to create a responsive and flexible workflow, as demonstrated by applications to several state-of-the-art spatial technologies. Furthermore, Giotto Suite builds upon interoperable interfaces and data structures that bridge the established fields of genomics and spatial data science in R, thereby enabling independent developers to create custom-engineered pipelines. As such, Giotto Suite creates an immersive and multiscale ecosystem for spatial multiomic data analysis.
