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Enhancing Giotto for Spatial Multi-Resolution Technologies

Legacy EOSS

2022

Proposal Summary

To enhance Giotto by implementing a novel data structure and framework for the abstract representation and analysis of emerging datasets from multi-modal and multi-resolution spatial technologies.


Giotto

Giotto originated in 2019 as one of the first software packages for comprehensive spatial transcriptomic data analysis, relieving the steep learning curve that scientists often faced with new datasets. However, Giotto is created from data analysis concepts derived from the field of single-cell analysis, which prevents the systematic storage, abstract representation, and usage of all available information that can be extracted from spatial omics technologies. This project will develop a framework that can fully capture the spatial and biological complexity from all spatial omics data.

Project Team

Ruben Dries | | Github

Boston Medical Center Corporation / Boston University

Jiaji George Chen Github

Boston University

Joselyn C. Chávez-Fuentes Github

Icahn School of Medicine at Mount Sinai

Guo-Cheng Yuan Github

Icahn School of Medicine at Mount Sinai