GDC 队列副驾驶员:一个人工智能副驾驶员,用于从基因组数据公众资源中策划队列
Steven Song1,2,3, Anirudh Subramanyam1, Zhenyu Zhang1
1Center for Translational Data Science, University of Chicago, Chicago, IL 60615, United States.
Bioinformatics advances
|December 8, 2025
概括
GDC Cohort Copilot通过将自然语言翻译成GDC队列过器来简化癌症基因组学数据探索. 这种开源工具由专业的LLM提供动力,增强了研究人员的队列策划.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 基因组数据共享 (GDC) 通过一个统一的平台提供协调的癌症基因组数据.
- 目前的GDC队列创建工具可能对用户,特别是新用户来说具有挑战性,因为有许多描述符.
- 自然语言为用户提供了一种更直观的方法来描述所需的队列.
研究的目的:
- 推出GDC队列Copilot,这是一个开源工具,用于使用自然语言策划GDC队列.
- 开发和评估用于生成GDC队列过器的大型语言模型 (LLM).
- 为完善自动生成的队列提供一个交互式界面.
主要方法:
- 开发了GDC Cohort Copilot,这是一个开源工具,利用LLM将自然语言队列描述翻译成GDC过器.
- 评估了多个LLM,包括一个本地服务的GDC队列LLM和GPT-4o.
- 实现了工具作为一个容器化格拉迪奥应用程序的可访问性.
主要成果:
- GDC Cohort Copilot成功地从自然语言描述中生成了GDC队列过器.
- 在本地服务的,开源的GDC队列LLM在生成准确的GDC队列方面超过了GPT-4o.
- 该工具提供了一个交互式界面,用于进一步改进队列.
结论:
- GDC Cohort Copilot增强了GDC用于癌症基因组学数据探索的可用性.
- 开源的LLM可以有效地针对专门的生物信息学任务进行定制.
- 该工具有助于在GDC生态系统中更容易地进行队列策划和分析.
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