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

Senabouth, A.; Lukowski, S.; Alquicira, J.; Andersen, S.; Mei, X.; Nguyen, Q.; Powell, J.

doi:10.1101/207704

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bioRxiv · 10.1101/207704

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

Senabouth, A.·Lukowski, S.·Alquicira, J.·Andersen, S.·Mei, X.·Nguyen, Q.·Powell, J.

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Abstract

Summaryascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. The package incorporates novel and established methods to provide a flexible framework to perform filtering, quality control, normalization, dimension reduction, clustering, differential expression and a wide-range of plotting. 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.\n\nAvailabilityThe R package and associated vignettes are freely available at https://github.com/IMB-Computational-Genomics-Lab/ascend.\n\nContactjoseph.powell@uq.edu.au\n\nSupplementary informationAn example dataset is available at ArrayExpress, accession number E-MTAB-6108

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Senabouth, A., Lukowski, S., Alquicira, J., Andersen, S., Mei, X., Nguyen, Q., Powell, J.. 2017-10-23. ascend: R package for analysis of single cell RNA-seq data. https://doi.org/10.1101/207704

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