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Updated: Jan 11, 2026

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SpliceDecoder: A High-Throughput Tool for Guiding the Functional Interpretation of Differential Splicing Events.

Hyeon Gu Kang1, Marina Yurieva1, Mattia Brugiolo1

  • 1The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.

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|November 19, 2025
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Summary
This summary is machine-generated.

Alternative splicing creates protein diversity but its role in disease is unclear. SpliceDecoder prioritizes disease-relevant splicing events by predicting their functional impact on proteins, aiding biological and therapeutic discovery.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Alternative splicing generates diverse mRNA isoforms, crucial for protein diversity and cellular function.
  • Splicing dysregulation is linked to various diseases, including cancer and neurodegeneration.
  • The functional impact of most identified spliced isoforms remains largely unknown, hindering disease mechanism understanding and therapeutic development.

Purpose of the Study:

  • To develop a computational workflow, SpliceDecoder, for prioritizing biologically meaningful alternative splicing events.
  • To predict the impact of splicing events and isoforms on transcript productivity, protein sequence, and functional domains.
  • To enable evidence-based prioritization of splicing events for biological and clinical relevance.

Main Methods:

  • Developed SpliceDecoder, a computational workflow for analyzing alternative splicing.
  • Implemented prediction of isoform impact on protein structure and function.
  • Assigned functional effect scores to splicing events for prioritization.

Main Results:

  • SpliceDecoder facilitates informed interpretation of splicing data.
  • The workflow reduces reliance on prior knowledge for splicing event analysis.
  • Validated known splicing alterations and identified novel disease-associated isoform switches in public datasets.

Conclusions:

  • SpliceDecoder enhances the identification of functionally significant splicing events.
  • The tool aids in uncovering splicing-driven disease mechanisms.
  • SpliceDecoder supports the discovery of potential therapeutic targets related to alternative splicing.