SRT-Server:为空间转录组数据分析提供动力。

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY Genome Medicine Pub Date : 2024-01-26 DOI:10.1186/s13073-024-01288-6
Sheng Yang, Xiang Zhou
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引用次数: 0

摘要

背景:空间分辨转录组学(SRT)包括一套快速发展的技术,能够测量组织中的基因表达,同时保留空间定位信息。SRT 技术和所支持的 SRT 研究为了解复杂组织的结构和功能基础提供了前所未有的见解。随着 SRT 技术的发展和越来越多的 SRT 研究的出现,人们开发了许多复杂的统计和计算方法,以促进 SRT 数据的分析和解读。然而,尽管 SRT 研究越来越受欢迎,SRT 分析方法也越来越广泛,但大规模复杂 SRT 数据集的分析仍然具有挑战性,对于统计和计算背景有限的研究人员来说并不容易获得:在此,我们介绍 SRT-Server,它是第一个为各种 SRT 技术进行全面 SRT 分析而设计的网络服务器,只需最低限度的计算知识即可使用。SRT-Server 采用最先进的网络开发技术,用户界面友好,具有多个分析模块,可执行一系列 SRT 分析。通过流程图式界面,SRT-Server 上的这些不同分析模块可拖入主面板并相互连接,以创建自定义分析管道。然后,SRT-Server 会自动执行所需的分析,生成相应的图表并输出结果--所有这一切都不需要事先掌握编程知识。我们利用从两个常见平台收集的 SRT 数据进行了三个案例研究,展示了 SRT-Server 的优势,突出了它的多功能性和对具有不同分析专长的研究人员的价值:总之,SRT-Server 为 SRT 数据分析提供了一个用户友好、高效、有效、安全和可扩展的解决方案,为该领域的研究人员打开了新的大门。SRT-Server 可在 https://spatialtranscriptomicsanalysis.com/ 免费获取。
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SRT-Server: powering the analysis of spatial transcriptomic data.

Background: Spatial resolved transcriptomics (SRT) encompasses a rapidly developing set of technologies that enable the measurement of gene expression in tissue while retaining spatial localization information. SRT technologies and the enabled SRT studies have provided unprecedent insights into the structural and functional underpinnings of complex tissues. As SRT technologies have advanced and an increasing number of SRT studies have emerged, numerous sophisticated statistical and computational methods have been developed to facilitate the analysis and interpretation of SRT data. However, despite the growing popularity of SRT studies and the widespread availability of SRT analysis methods, analysis of large-scale and complex SRT datasets remains challenging and not easily accessible to researchers with limited statistical and computational backgrounds.

Results: Here, we present SRT-Server, the first webserver designed to carry out comprehensive SRT analyses for a wide variety of SRT technologies while requiring minimal prior computational knowledge. Implemented with cutting-edge web development technologies, SRT-Server is user-friendly and features multiple analytic modules that can perform a range of SRT analyses. With a flowchart-style interface, these different analytic modules on the SRT-Server can be dragged into the main panel and connected to each other to create custom analytic pipelines. SRT-Server then automatically executes the desired analyses, generates corresponding figures, and outputs results-all without requiring prior programming knowledge. We demonstrate the advantages of SRT-Server through three case studies utilizing SRT data collected from two common platforms, highlighting its versatility and values to researchers with varying analytic expertise.

Conclusions: Overall, SRT-Server presents a user-friendly, efficient, effective, secure, and expandable solution for SRT data analysis, opening new doors for researchers in the field. SRT-Server is freely available at https://spatialtranscriptomicsanalysis.com/ .

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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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