SGS: An Integrative Browser for Collaborative Visualization of Single-cell and Spatial Multimodal Data
🎉 SGS, a user-friendly ⚡, collaborative ⚡ and versatile ⚡ browser for visualizing single-cell and spatial multiomics data, including scRNA, spatial transcriptomics, scATAC, scMethylC, sc-eQTL etc. With advanced features for comparative visualization, multi-panel coordiniate view, abundant visualization functions and collaborative exploration, SGS empowers researchers to unlocking the novel insights from scMulti-omics data 🎉.
Instructions, documentation, and tutorials can be found at: SGS Website
Make Sure Docker is installed on your server SGS primarily utilizes Docker and Flutter technologies to achieve graphical one-click installation. SGS supports the following three deployment methods:
Once you have downloaded the SGS software, you can install SGS through a graphical interface for data visualization.
Please note that SGS installation relies on Docker, so make sure Docker is configured!
👋 (Recommended）Graphical installation tutorial
If you want to customize the container configuration items, please refer to the manual installation tutorial: Manual installation
- SGS supports various data formats including Anndata, Mudata, and genome-mapped files (GFF, VCF, BED, Bigwig, HiC, Biginteract, Longrange, methylC, Gwas,).
- The SgsAnnData R package enables seamless data format conversion with analysis tools like Seurat, ArchR, Signac, and Giotto.
- SgsAnnData can be access by the following links: SgsAnnData gtihub
If you found an issue, please report it along with any relevant details to reproduce it. Thanks.
- Yi Wang (yiwang28@swu.edu.cn)
- Fang Lu (lufang0411@sina.com)
- Yongjiang Luo (lyjiang126@yeah.net)
- Tingting Xia (xtt199239@163.com)
- Jiahe Sun (sunjiahe0502@email.swu.edu.cn)
Xia, T., Sun, J., Lu, F., Luo, Y., Mao, Y., Xu, L., & Wang, Y. (2024). Empowering Integrative and Collaborative Exploration of Single-Cell and Spatial Multimodal Data with SGS. bioRxiv, (), 2024.07.19.604227. Accessed July 23, 2024. https://doi.org/10.1101/2024.07.19.604227.
SGS Copyright (c) 2024 Wang lab. All rights reserved. This software is distributed under the MIT License (MIT).