Supporting data for "A Galaxy-based training resource for single-cell RNA-seq quality control and analyses"

It is not a trivial step to move from single-cell RNA-seq (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.<br>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 visualise-filter-visualise 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, visualise, and filter scRNA-seq data from short-read sequencing data. <br> We have developed a suite of scRNA-seq tools that can be used for both training and more in-depth analyses.