Supporting data for "ascend: R package for analysis of single cell RNA-seq data"

Recent developments in single cell RNA sequencing (scRNA-seq) platforms have vastly increased the number of cells typically assayed in an experiment, as well as accessibility of the technology itself. Few analysis packages exist that are at once robust, computationally fast, and allow flexible integration with other bioinformatics tools and methods.<br> ascend is an R package comprised of tools designed to simplify and streamline the preliminary analysis of scRNA-seq data, while addressing the statistical challenges of scRNA-seq analysis, while enabling flexible integration with genomics packages and native R functions, including fast parallel computation and efficient memory management. The package incorporates both novel and established methods to provide a framework to perform cell and gene filtering, quality control, normalization, dimension reduction, clustering, differential expression, and a wide-range of visualization functions.<br> ascend is designed to work with scRNA-seq data generated by any high-throughput platform, and includes functions to convert data objects between software packages. The ascend workflow is simple and interactive, suitable for implementation by a broad range of users, including those with little programming experience.