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bioRxiv · 10.1101/2021.01.14.426636

satuRn: Scalable Analysis of differential Transcript Usage for bulk and single-cell RNA-sequencing applications

Gilis, J.·Vitting-Seerup, K.·Van den Berge, K.·Clement, L.
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Abstract

Alternative splicing produces multiple functional transcripts from a single gene. Dysregulation of splicing is known to be associated with disease and as a hallmark of cancer. Existing tools for differential transcript usage (DTU) analysis either lack in performance, cannot account for complex experimental designs or do not scale to massive scRNA-seq data. We introduce satuRn, a fast and flexible quasi-binomial generalized linear modelling framework that is on par with the best performing DTU methods from the bulk RNA-seq realm, while providing good false discovery rate control, addressing complex experimental designs and scaling to scRNA-seq applications.

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Gilis, J., Vitting-Seerup, K., Van den Berge, K., Clement, L.. 2021-01-16. satuRn: Scalable Analysis of differential Transcript Usage for bulk and single-cell RNA-sequencing applications. https://doi.org/10.1101/2021.01.14.426636

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