Empowering integrative and collaborative exploration of single-cell and spatial multimodal data with SGS genome browser.

IF 11.1 Q1 CELL BIOLOGY

Cell genomics Pub Date : 2025-05-14 Epub Date: 2025-04-14 DOI:10.1016/j.xgen.2025.100848

Tingting Xia, Jiahe Sun, Yongjiang Luo, Hailong Guo, Yudi Mao, Ling Xu, Fang Lu, Yi Wang

{"title":"Empowering integrative and collaborative exploration of single-cell and spatial multimodal data with SGS genome browser.","authors":"Tingting Xia, Jiahe Sun, Yongjiang Luo, Hailong Guo, Yudi Mao, Ling Xu, Fang Lu, Yi Wang","doi":"10.1016/j.xgen.2025.100848","DOIUrl":null,"url":null,"abstract":"<p><p>Recent advancements in single-cell and spatial omics technologies have generated a large amount of complex, high-dimensional data, which poses significant challenges to visualization tools. We introduce SGS (single-cell and spatial genomics system), a user-friendly, collaborative, and versatile browser designed for visualizing single-cell and spatial multimodal data. SGS excels in the integrative visualization of complex multimodal data, offering an innovative genome browser, flexible visualization modes, and 3D spatially resolved transcriptomics (SRT) data visualization capabilities. Notably, SGS empowers users with advanced capabilities for comparative visualization through features like scCompare, scMultiView, and the dual-chromosome mode. It supports a variety of data formats and is compatible with established analysis tools, enabling collaborative data exploration and visualization without programming. Overall, SGS is a comprehensive browser that enables researchers to unlock novel insights from multimodal data.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100848"},"PeriodicalIF":11.1000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12143324/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xgen.2025.100848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Recent advancements in single-cell and spatial omics technologies have generated a large amount of complex, high-dimensional data, which poses significant challenges to visualization tools. We introduce SGS (single-cell and spatial genomics system), a user-friendly, collaborative, and versatile browser designed for visualizing single-cell and spatial multimodal data. SGS excels in the integrative visualization of complex multimodal data, offering an innovative genome browser, flexible visualization modes, and 3D spatially resolved transcriptomics (SRT) data visualization capabilities. Notably, SGS empowers users with advanced capabilities for comparative visualization through features like scCompare, scMultiView, and the dual-chromosome mode. It supports a variety of data formats and is compatible with established analysis tools, enabling collaborative data exploration and visualization without programming. Overall, SGS is a comprehensive browser that enables researchers to unlock novel insights from multimodal data.

查看原文本刊更多论文

利用SGS基因组浏览器增强单细胞和空间多模态数据的整合和协作探索能力。

单细胞和空间组学技术的最新进展产生了大量复杂的高维数据，这对可视化工具提出了重大挑战。我们介绍了SGS（单细胞和空间基因组系统），一个用户友好的，协作的，多功能的浏览器，专为可视化单细胞和空间多模态数据而设计。SGS擅长复杂多模态数据的集成可视化，提供创新的基因组浏览器、灵活的可视化模式和3D空间解析转录组学（SRT）数据可视化功能。值得注意的是，SGS通过scCompare、scMultiView和双染色体模式等功能，为用户提供了高级的比较可视化功能。它支持多种数据格式，并与已建立的分析工具兼容，无需编程即可实现协作数据探索和可视化。总的来说，SGS是一个全面的浏览器，使研究人员能够从多模式数据中解锁新的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Cell genomics

CiteScore

7.10

自引率

0.00%

发文量