The manuscript “The SpliZ generalizes “Percent Spliced In” to reveal regulated splicing at single-cell resolution” led by Julia Olivieri and Roozbeh Dehghannasiri has been accepted for publication at Nature Methods.
Abstract: Detecting single-cell-regulated splicing from droplet-based technologies has been viewed as out of reach. Here, we introduce the Splicing Z Score (SpliZ), an annotation-free statistical method to detect regulated splicing in single-cell RNA-seq. We applied the SpliZ to human lung cells, discovering hundreds of genes with cell-type-specific splicing patterns including ones with potential implications for basic and translational biology.