Agentic Authoring of Interactive Multiview Visualizations in Genomics
Diverse genomics data, scientific questions, and analysis tasks typically demand highly specialized visualizations. Therefore, users often must customize or author new ones tailored to their data. Existing tools are usually either limited in customization or require substantial learning or programming, and even expressive tools assume visualization expertise many users lack. Agentic and large language model (LLM) approaches are increasingly applied to complex scientific tasks, including visualization. Natural-language conversational interfaces offer a promising path to democratizing the authoring of complex visualizations. In the context of genomics, these approaches face additional chall...
| Authors | Astrid van den Brandt, Kiroong Choe, Sehi L'Yi et al. |
|---|---|
| Primary category | cs.HC |
| Published | 29 May 2026 |
| Last updated at source | 29 May 2026 |
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