A Galaxy-based training resource for single-cell RNA-seq quality control and analyses.
Etherington, G. J.; Soranzo, N.; Mohammed, S.; Haerty, W.; Davey, R.; Di-Palma, F.
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BackgroundIt 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 analysis.\n\nResultsWe have developed a range of easy-to-use scripts, together with their corresponding Galaxy wrappers, that make scRNA-seq training and analysis accessible to researchers previously daunted by the prospect of scRNA-seq analysis. The simple command-line tools and the point-and-click nature of Galaxy makes it easy to assess, visualise, and quality control scRNA-seq data.\n\nConclusionWe have developed a suite of scRNA-seq tools that can be used for both training and more in-depth analyses.
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