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CytoAnalyst网络平台助力全面的单细胞RNA测序分析。

CytoAnalyst web platform facilitates comprehensive single cell RNA sequencing analysis.

作者信息

Bya Phi, Tran Duy, Nguyen Khoi, Draghici Sorin, Nguyen Tin

机构信息

Department of Computer Science and Software Engineering, Auburn University, Auburn, 36849, AL, USA.

Department of Computer Science, Wayne State University, Detroit, 48202, MI, USA.

出版信息

Sci Rep. 2025 Aug 6;15(1):28736. doi: 10.1038/s41598-025-14398-x.

Abstract

Single-cell technologies have revolutionized our ability to study cellular heterogeneity and dynamics at unprecedented resolutions. In this fast-growing field, it becomes increasingly challenging to navigate the vast number of tools and steps for analysis. It is particularly difficult to integrate and analyze large datasets that require extensive collaborations and customized pipelines to obtain robust results. We present CytoAnalyst, a web-based platform that offers a number of important advantages over existing tools for single-cell analysis. First, the platform enables custom pipeline configuration using an efficient study management system and a broad range of analysis modules. Second, the platform supports parallel analysis instances, facilitating the comprehensive comparison of different methods or parameter settings available at each analysis step. Third, the advanced sharing system facilitates real-time synchronization among team members and seamless analysis continuation across different devices. Finally, the grid-layout visualization system supports simultaneous displays of different data aspects, allowing for the comparison of multiple labels and plots side-by-side for comprehensive data insights, with the ability to save and reload visualization settings at any analysis step. The platform incorporates multiple blending modes, allowing users to combine plots in various ways for comprehensive data exploration. CytoAnalyst supports a high level of analytical rigor while providing user-friendly and flexible operations through its carefully designed interface and extensive documentation. The platform supports all major web browsers and is freely available at https://cytoanalyst.tinnguyen-lab.com .

摘要

单细胞技术彻底改变了我们以前所未有的分辨率研究细胞异质性和动态变化的能力。在这个快速发展的领域中,在众多的分析工具和步骤中进行操作变得越来越具有挑战性。整合和分析需要广泛合作和定制流程才能获得可靠结果的大型数据集尤其困难。我们推出了CytoAnalyst,这是一个基于网络的平台,与现有的单细胞分析工具相比具有许多重要优势。首先,该平台通过高效的研究管理系统和广泛的分析模块实现自定义流程配置。其次,该平台支持并行分析实例,便于对每个分析步骤中可用的不同方法或参数设置进行全面比较。第三,先进的共享系统促进团队成员之间的实时同步以及在不同设备之间无缝继续分析。最后,网格布局可视化系统支持同时显示不同的数据方面,允许并排比较多个标签和图表以获得全面的数据洞察,并能够在任何分析步骤保存和重新加载可视化设置。该平台包含多种混合模式,允许用户以各种方式组合图表以进行全面的数据探索。CytoAnalyst在通过精心设计的界面和详尽的文档提供用户友好且灵活的操作的同时,支持高水平的分析严谨性。该平台支持所有主流的网络浏览器,可在https://cytoanalyst.tinnguyen-lab.com免费获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a49f/12328742/a75479a93729/41598_2025_14398_Fig1_HTML.jpg

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