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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.7K

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

Rufei Pan1, Chao Li1, Feifei Shi1

  • 1Beijing BestopCell Co., Ltd, Beijing, 100176, China.

BMC Genomics
|October 9, 2025
PubMed
Summary

BestopCloud simplifies complex single-cell RNA sequencing (scRNA-seq) data analysis for researchers. This user-friendly platform offers comprehensive tools for processing, analysis, and visualization, making scRNA-seq data accessible.

Keywords:
Data analysisModuleOnline analysis platform; bioinformationsR shinySingle-cell RNA sequencing (scRNA-seq)

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Single-cell RNA sequencing (scRNA-seq) is crucial for understanding cellular heterogeneity.
  • High-dimensional scRNA-seq data presents significant analytical challenges, especially for non-programmers.
  • Existing tools may lack comprehensive functionality or user-friendliness.

Purpose of the Study:

  • To develop a user-friendly, comprehensive online platform for scRNA-seq data analysis.
  • To streamline the processing, analysis, and visualization of scRNA-seq data.
  • To provide researchers with an accessible solution for complex genomic data.

Main Methods:

  • Development of BestopCloud, an integrated online analysis platform.
  • Implementation of nine distinct, modular analysis components.
  • Support for diverse parameter settings and flexible data flow linking.

Main Results:

  • BestopCloud offers a functionally comprehensive suite of tools for scRNA-seq analysis.
  • The platform supports independent module usage and flexible data integration.
  • High-quality chart files are generated, aiding data interpretation.

Conclusions:

  • BestopCloud effectively addresses the analytical challenges of scRNA-seq data.
  • The platform empowers researchers, including non-programmers, to conduct in-depth scRNA-seq analysis.
  • BestopCloud provides a robust solution for scRNA-seq data processing, analysis, and visualization.