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SCANVIS: a tool for SCoring, ANnotating and VISualizing splice junctions.

Phaedra Agius1, Heather Geiger1, Nicolas Robine1

  • 1Computational Biology, New York Genome Center, New York, NY, USA.

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|June 15, 2019
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Summary
This summary is machine-generated.

SCANVIS is a new tool that scores and annotates splice junctions (SJs) for disease association studies. It efficiently visualizes SJ details, aiding prognosis, diagnosis, and therapy development.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • The association between splicing signatures and diseases is crucial for prognosis, diagnosis, and therapy.
  • Accurate scoring and annotation of splice junctions (SJs) are essential for understanding these associations.

Purpose of the Study:

  • To introduce SCANVIS, a novel, fast, and annotation-dependent tool for scoring and annotating SJs.
  • To provide an efficient visualization tool for highlighting SJ details and annotation support.

Main Methods:

  • Developed SCANVIS, a tool for scoring and annotating splice junctions.
  • Implemented an annotation-dependent approach for SJ analysis.
  • Utilized a Relative Read Support scoring method.
  • Incorporated efficient visualization techniques, including enhanced sashimi plots.

Main Results:

  • SCANVIS demonstrates fast performance in scoring and annotating SJs.
  • The tool effectively highlights SJ details such as frame-shifts.
  • Tissue specificity of splicing signatures is maintained using SCANVIS's scoring method.
  • Visualizations showcase the utility of incorporating annotation details into sashimi plots.

Conclusions:

  • SCANVIS is a valuable tool for analyzing splicing signatures in disease association studies.
  • The tool facilitates a deeper understanding of SJ variations and their clinical relevance.
  • SCANVIS enhances the visualization and interpretation of splicing data for researchers.