Scholarlink

<p>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.</p> Graphical Abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月9日

查看全文
  • Rufei Pan,
  • Chao Li,
  • Feifei Shi,
  • Panfei Wang,
  • Jing Liu,
  • Tiantian Wang,
  • Cai Lian,
  • Wenling Zheng,
  • Haixia Wei,
  • Keqing Song,
  • Jie Liu

摘要

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.

Graphical Abstract