PSQAN: a pipeline to prioritize novel and biologically relevant transcripts from long-read RNA sequencing.

ABSTRACT:

Motivation

Long-read RNA sequencing has the potential to accurately quantify transcriptomes and reveal the isoform diversity of disease-causing genes. However, despite the recent advances in analysis tools for transcript discovery, long-read RNA sequencing data is still challenging to analyse, due to the detection of hundreds or even thousands of novel transcripts per gene.

Results

Here, we introduce PSQAN, a workflow to help researchers prioritize high-confidence and potentially biologically relevant transcripts associated with candidate genes and make transcript characterization results more interpretable. PSQAN performs a gene-based analysis on characterized transcripts generated by SQANTI3 and TALON. PSQAN re-groups transcripts into easily interpretable categories to fac

SUBMITTER: Sethi S 

PROVIDER: S-EPMC12701792 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature