BaseCamp：自动化DNA测序数据流水线的智能体AI框架
原标题：BaseCamp --- An Agentic AI Framework for Automating DNA Sequencing Data Pipelines
AI 摘要
该论文提出 BaseCamp，一个用于自动化 DNA 测序数据流水线决策层的智能体 AI 框架。它将流水线拆分为六个专用 AI 智能体，分别负责样本接收与质控、比对、变异检测、注释解读、跨阶段监控和报告；智能体本身不执行序列分析，而是选择、配置并解读既有经过验证的生物信息学工具的输出。框架使用一组微调的领域专用大模型并由中央推理 LLM 协调，全部推理在本地执行以保护测序数据，并通过支持 MCP 的接口实现人类在环监督。评估显示智能体生成的配置与专家实践一致，显式过滤账本使过滤过程可审查，跨阶段异常检测能发现单阶段检查无法察觉的问题。
正文节选
BaseCamp — An Agentic AI Framework for Automating DNA Sequencing Data Pipelines Abstract DNA sequencing pipelines — spanning raw read quality control, reference alignment, variant calling, and annotation — are now reliably executed by workflow management systems that orchestrate established bioinformatics tools reproducibly at scale. What remains manual is the decision layer surrounding that execution: selecting quality thresholds appropriate to a given sample and platform, interpreting quality