bioRxivJClub
Deducing splicing events from transcript sets with splicelogic
bioRxiv · · Preprint · Open access
Campillo, Love
Abstract ↗AI summary
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splicelogic converts long-read transcript-set comparisons into discrete splicing events, enabling interpretable exon skipping, alternative splice sites, intron retention, and alternative TSS/TES outputs.
- Why it matters: Transcript changes across conditions or between novel and annotated isoform sets are difficult to summarize and visualize, and tool outputs can be tightly coupled in vertical workflows.
- What they did: The R/Bioconductor package transforms transcript-set differences into biologically interpretable splicing event categories and is designed for modular integration with existing RNA-seq workflows.
- The result: It supports downstream analyses such as RNA-binding protein recognition site annotation, plus summary statistics and visualization, and is publicly available via Bioconductor.
The findingWhy it mattersWhat they didThe result
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