In recent years, Single-cell RNA sequencing (scRNA-seq) is increasingly accessible to researchers of many fields. However, interpreting its data demands proficiency in multiple programming languages and bioinformatic skills, which limited researchers, without such expertise, exploring information from scRNA-seq data. Therefore, there is a tremendous need to develop easy-to-use software, covering all the aspects of scRNA-seq data analysis. We proposed a clear analysis framework for scRNA-seq data, which emphasized the fundamental and crucial roles of cell identity annotation, abstracting the analysis process into three stages: upstream analysis, cell annotation and downstream analysis. The framework can equip researchers with a comprehensive understanding of the analysis procedure and facilitate effective data interpretation. Leveraging the developed framework, we engineered Shaoxia, an analysis platform designed to democratize scRNA-seq analysis by accelerating processing through high-performance computing capabilities and offering a user-friendly interface accessible even to wet-lab researchers without programming expertise. Shaoxia stands as a powerful and user-friendly open-source software for automated scRNA-seq analysis, offering comprehensive functionality for streamlined functional genomics studies. Shaoxia is freely accessible at http://www.shaoxia.cloud , and its source code is publicly available at https://github.com/WiedenWei/shaoxia .

中文翻译：

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少侠：基于网络的单细胞RNA测序数据交互式分析平台

近年来，单细胞 RNA 测序 (scRNA-seq) 越来越多地被许多领域的研究人员所使用。然而，解释其数据需要熟练掌握多种编程语言和生物信息学技能，这限制了没有这些专业知识的研究人员从 scRNA-seq 数据中探索信息。因此，非常需要开发易于使用的软件，涵盖 scRNA-seq 数据分析的各个方面。我们提出了一个清晰的scRNA-seq数据分析框架，强调细胞身份注释的基础和关键作用，将分析过程抽象为三个阶段：上游分析、细胞注释和下游分析。该框架可以使研究人员全面了解分析过程并促进有效的数据解释。利用开发的框架，我们设计了 Shaoxia，这是一个分析平台，旨在通过高性能计算能力加速处理，并提供用户友好的界面，即使没有编程专业知识的湿实验室研究人员也可以使用，从而实现 scRNA-seq 分析的民主化。 Shaoxia 是一款功能强大且用户友好的自动化 scRNA-seq 分析开源软件，为简化的功能基因组学研究提供全面的功能。 Shaoxia 可在 http://www.shaoxia.cloud 上免费访问，其源代码可在 https://github.com/WiedenWei/shaoxia 上公开获取。