BestopCloud: an integrated one-stop solution for single-cell RNA sequencing data analysis

作者：Rufei Pan, Chao Li, Feifei Shi, Panfei Wang, Jing Liu, Jing Liu, Tiantian Wang, Cai Lian, Wenling Zheng, Haixia Wei, Keqing Song, Jie Liu, Jie Liu · 发表于：BMC Genomics · 年份：2025 · DOI：10.1186/s12864-025-12072-0 · 被引用次数：1 · 研究领域：Single-cell and spatial transcriptomics、Cancer-related molecular mechanisms research、Extracellular vesicles in disease

Single-cell RNA sequencing (scRNA-seq) technology has emerged as a powerful tool for unveiling cellular heterogeneity, yet the high dimensionality and complexity of the data it generates pose analytical challenges for non-professional programmers. To streamline the process, we have developed BestopCloud, a functionally comprehensive and user-friendly online analysis platform. Comprising nine modules, BestopCloud supports diverse parameter settings within each module and is capable of producing high-quality chart files. Furthermore, these modules can be used independently and flexibly linked through data flow. In summary, BestopCloud provides researchers with an in-depth solution for scRNA-seq data processing, analysis, and visualization.