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    Area of Science:

    • Computer Science
    • Bioinformatics
    • Data Visualization

    Background:

    • Responsive visualization, adapted from responsive web design, is crucial for cross-resolution and cross-device data displays.
    • Existing research primarily addresses single-view or few-view visualizations, leaving multi-view responsive designs underexplored.
    • Genomics data visualization presents unique challenges due to its complexity and the need for multi-view representations.

    Approach:

    • A comprehensive review of web-based genomics visualization tools was conducted to identify current design practices and challenges.
    • A taxonomy of responsive design characteristics was used to evaluate existing tools, revealing limited support for responsiveness.
    • Typical multi-view composition patterns (e.g., vertical, horizontal, circular) were classified to understand their impact on usability across different resolutions.

    Key Points:

    • Responsiveness is infrequently implemented in current web-based genomics visualization tools.
    • Specific view composition patterns create distinct usability issues at varying screen resolutions.
    • The study proposes actionable approaches to address these issues and enhance the responsiveness of genomics visualizations.

    Conclusions:

    • A reusable and generalizable framework for designing responsive multi-view genomics visualizations is presented.
    • The Gosling visualization grammar was extended to incorporate responsive constructs, demonstrating the framework's practical application.
    • Future work should consider diverse input modalities, such as touch interactions, to further improve responsive visualization design.