BestopCloud: An Integrated One-Stop Solution for Single-Cell Transcriptome Data Analysis
Year: 2024
Type: article
Abstract: Single-cell RNA sequencing (scRNA-seq) has become a reliable method to dissect cellular processes and cellular heterogeneity at single-cell resolution. However, the data generated by scRNA-seq experiments are high-dimensional and complex. In order to meet the increasing analysis needs of non-programming experts, we have developed a comprehensive and user-friendly online analysis platform, BestopCloud (http://cloud.bestopcell.com:3838/BestopCloud). BestopCloud consists of 9 modules, which integrates the current open-source standardized methods in the single-cell field and can perform in-depth data processing, analysis and visualization. Within each module, BestopCloud supports a variety of parameter settings and outputs publishable chart files. While maintaining the independence of modules (each module can input data and be used separately), BestopCloud supports flexible module association, breaking the conventional sequential process (Sequential Process) and making data utilization more efficient. In short, BestopCloud allows users to analyze scRNA-seq data more deeply and flexibly. The platform fills the main gap between wet experimental research and dry experimental research.
Author: Pan, Rufei
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6949521306
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