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Related Experiment Video

Updated: Sep 18, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations.

Chi Zhang, Yu Dong, Yang Wang

    IEEE Computer Graphics and Applications
    |June 20, 2025
    PubMed
    Summary

    AuraGenome simplifies complex circular genome visualization using an LLM-powered framework. This tool enables rapid, scalable generation of multi-layered genomic visualizations, making structural variant and gene regulation exploration more accessible.

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    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Circular genome visualizations are crucial for analyzing structural variants and gene regulation.
    • Current tools often involve complex scripting, manual configuration, and steep learning curves.
    • This leads to time-consuming and error-prone visualization processes.

    Purpose of the Study:

    • To introduce AuraGenome, a novel LLM-powered framework for generating multi-layered circular genome visualizations.
    • To provide a rapid, reusable, and scalable solution for genomic data visualization.
    • To overcome the limitations of existing tools in terms of complexity and ease of use.

    Main Methods:

    • AuraGenome utilizes a semantic-driven multi-agent workflow with seven specialized LLM agents.
    • Agents handle tasks like intent recognition, layout planning, and code generation.
    • The system integrates an interactive visual analytics component with multiple coordinated views (ring, radial, chord).

    Main Results:

    • The framework enables the transformation of raw genomic data into tailored circular visualizations.
    • It supports multiple coordinated views and various layout types for comprehensive analysis.
    • AuraGenome facilitates real-time refinement, configuration reuse, and high-quality report export.

    Conclusions:

    • AuraGenome offers an efficient and user-friendly approach to complex circular genome visualization.
    • The LLM-powered framework significantly reduces the complexity and time required for generating genomic visualizations.
    • Case studies and user studies confirm the effectiveness and scalability of AuraGenome for genomic data exploration.