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Updated: Jun 18, 2025

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Deciphering cancer genomes with GenomeSpy: a grammar-based visualization toolkit.

Kari Lavikka1, Jaana Oikkonen1, Yilin Li1

  • 1Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.

Gigascience
|August 5, 2024
PubMed
Summary

GenomeSpy offers a new, accessible way to create interactive genomic data visualizations. This toolkit accelerates cancer research by enabling detailed analysis of large genomic datasets with high performance.

Keywords:
GPU-accelerated visualizationgenomic data visualizationovarian high-grade serous carcinomavisualization grammar

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Visualization

Background:

  • Genomic data analysis relies heavily on effective visualization.
  • Existing tools often require significant programming expertise, limiting accessibility.
  • Current grammar-based visualization tools struggle with large datasets common in cancer research.

Purpose of the Study:

  • To introduce GenomeSpy, a novel grammar-based toolkit for creating customized, interactive genomic visualizations.
  • To provide bioinformaticians and researchers with an accessible tool for exploring complex genomic data.

Main Methods:

  • GenomeSpy utilizes a declarative language and combinatorial building blocks for easy visualization design.
  • The toolkit leverages graphics processing unit (GPU) acceleration for high-performance rendering and smooth interactions.
  • Visualizations can be embedded in web pages or end-user applications.

Main Results:

  • GenomeSpy facilitates the creation of tailored, interactive visualizations for genomic data.
  • GPU acceleration enables high frame rates and fluid navigation within genomic data.
  • The toolkit was applied to analyze 753 ovarian cancer samples, revealing insights into genomic architecture and chromosomal instability.

Conclusions:

  • GenomeSpy is a flexible and high-performance toolkit for diverse genome analysis tasks.
  • It simplifies the creation of interactive visualizations, enhancing research capabilities.
  • The open-source toolkit is implemented in JavaScript and available online.