SatuRn: Scalable analysis of differential transcript usage for bulk and single-cell RNA-sequencing applications
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Dokumenter
- Fulltext
Forlagets udgivne version, 5,18 MB, PDF-dokument
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 single-cell transcriptome sequencing (scRNA-seq) datasets. 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.
Originalsprog | Engelsk |
---|---|
Artikelnummer | 374 |
Tidsskrift | F1000Research |
Vol/bind | 10 |
Antal sider | 43 |
ISSN | 2046-1402 |
DOI | |
Status | Udgivet - 2022 |
Bibliografisk note
Publisher Copyright:
© 2022 Gilis J et al.
ID: 343299032