AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations.

IF 1.4 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IEEE Computer Graphics and Applications Pub Date : 2025-06-20 DOI:10.1109/MCG.2025.3581560

Chi Zhang, Yu Dong, Yang Wang, Yuetong Han, Guihua Shan, Bixia Tang

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引用次数: 0

Abstract

Circular genome visualizations are essential for exploring structural variants and gene regulation. However, existing tools often require complex scripting and manual configuration, making the process time-consuming, error-prone, and difficult to learn. To address these challenges, we introduce AuraGenome, an LLM-powered framework for rapid, reusable, and scalable generation of multi-layered circular genome visualizations. AuraGenome combines a semantic-driven multi-agent workflow with an interactive visual analytics system. The workflow employs seven specialized LLM-driven agents, each assigned distinct roles such as intent recognition, layout planning, and code generation, to transform raw genomic data into tailored visualizations. The system supports multiple coordinated views tailored for genomic data, offering ring, radial, and chord-based layouts to represent multi-layered circular genome visualizations. In addition to enabling interactions and configuration reuse, the system supports real-time refinement and high-quality report export. We validate its effectiveness through two case studies and a comprehensive user study. AuraGenome is available at: https://github.com/Darius18/AuraGenome.

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AuraGenome：一个llm驱动的框架，用于动态可重用和可扩展的圆形基因组可视化。

环状基因组可视化对于探索结构变异和基因调控至关重要。然而，现有的工具通常需要复杂的脚本和手动配置，这使得这个过程非常耗时，容易出错，而且很难学习。为了应对这些挑战，我们引入了AuraGenome，这是一个llm驱动的框架，用于快速、可重用和可扩展地生成多层圆形基因组可视化。AuraGenome结合了语义驱动的多代理工作流和交互式可视化分析系统。该工作流采用了7个专门的llm驱动代理，每个代理都分配了不同的角色，如意图识别、布局规划和代码生成，以将原始基因组数据转换为定制的可视化。该系统支持为基因组数据量身定制的多种协调视图，提供环形、径向和基于弦的布局，以表示多层圆形基因组可视化。除了支持交互和配置重用之外，系统还支持实时细化和高质量的报告导出。我们通过两个案例研究和一个全面的用户研究来验证其有效性。AuraGenome的网址是：https://github.com/Darius18/AuraGenome。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Computer Graphics and Applications 工程技术-计算机：软件工程

CiteScore

3.20

自引率

5.60%

发文量

160

审稿时长

>12 weeks

期刊介绍： IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.