BACKGROUND It is not a trivial step to move from single-cell RNA-sequencing (scRNA-seq) data production to data analysis. There is a lack of intuitive training materials and easy-to-use analysis tools, and researchers can find it difficult to master the basics of scRNA-seq quality control and the later analysis. RESULTS We have developed a range of practical scripts, together with their corresponding Galaxy wrappers, that make scRNA-seq training and quality control accessible to researchers previously daunted by the prospect of scRNA-seq analysis. We implement a "visualize-filter-visualize" paradigm through simple command line tools that use the Loom format to exchange data between the tools. The point-and-click nature of Galaxy makes it easy to assess, visualize, and filter scRNA-seq data from short-read sequencing data. CONCLUSION We have developed a suite of scRNA-seq tools that can be used for both training and more in-depth analyses.

中文翻译：

---

基于Galaxy的培训资源，用于单细胞RNA测序质量控制和分析。

背景技术从单细胞RNA测序（scRNA-seq）数据生成转移到数据分析并非易事。缺乏直观的培训材料和易于使用的分析工具，研究人员发现很难掌握scRNA-seq质量控制的基础知识和后来的分析方法。结果我们开发了一系列实用脚本及其相应的Galaxy包装程序，使以前对scRNA-seq分析前景望而却步的研究人员可以进行scRNA-seq培训和质量控制。我们通过使用Loom格式在工具之间交换数据的简单命令行工具来实现“ visualize-filter-visualize”范例。Galaxy的点击特性使您可以轻松地从短读测序数据中评估，可视化和过滤scRNA-seq数据。