The SpliZ generalizes ‘percent spliced in’ to reveal regulated splicing at single-cell resolution
Department
Computer Science
Document Type
Article
Publication Title
Nature Methods
ISSN
1548-7091
Volume
19
Issue
3
DOI
10.1038/s41592-022-01400-x
First Page
307
Last Page
310
Publication Date
3-1-2022
Abstract
Detecting single-cell-regulated splicing from droplet-based technologies is challenging. Here, we introduce the splicing Z score (SpliZ), an annotation-free statistical method to detect regulated splicing in single-cell RNA sequencing. 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.
Recommended Citation
Olivieri, J. E.,
Dehghannasiri, R.,
&
Salzman, J.
(2022).
The SpliZ generalizes ‘percent spliced in’ to reveal regulated splicing at single-cell resolution.
Nature Methods, 19(3), 307–310.
DOI: 10.1038/s41592-022-01400-x
https://scholarlycommons.pacific.edu/soecs-facarticles/311
