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bioRxiv · 10.1101/2024.07.19.604227

Empowering Integrative and Collaborative Exploration of Single-Cell and Spatial Multimodal Data with SGS

Xia, T.·Sun, J.·Lu, F.·Luo, Y.·Mao, Y.·Xu, L.·Wang, Y.
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Abstract

Recent advancements in single-cell and spatial omics technologies have revolutionized our ability to capture multiple modalities data at a genome-wide scale within individual cells. However, visualizing these large-scale, high-dimensional, and complex datasets poses significant challenges. Here, we present SGS, a user-friendly, collaborative and versatile browser for visualizing single-cell and spatial multiomics data. SGS incorporates a novel genome browser framework, flexible visualization modules and a multi-panel adaptive communication mechanism to enable the synchronous visualization of diverse datasets. Notably, SGS empowers users with advanced capabilities for comparative visualization, through features like scCompare, scMultiView, and dual-chromosome module. Additionally, by adopting the "workstation concept", SGS enables data fast visualization and collaborative exploration. We showcase the potential of SGS in the comparative visualization and coordinated exploration of mutlimodal data with two examples. SGS is publicly available at https://sgs.bioinfotoolkits.net/home.

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Xia, T., Sun, J., Lu, F., Luo, Y., Mao, Y., Xu, L., Wang, Y.. 2024-07-23. Empowering Integrative and Collaborative Exploration of Single-Cell and Spatial Multimodal Data with SGS. https://doi.org/10.1101/2024.07.19.604227

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