Combinatorial group testing reduces screening costs and turnaround time but remains challenging to apply due to design complexity, varying applicability, and lack of implementation tools. Here we present PoolPy, a unified end-to-end framework and web platform to benchmark, automate and decode combinatorial group testing strategies tailored to application-specific constraints across assay modalities. We demonstrate PoolPy utility for protein-ligand interaction screening and genome-wide molecular profiling, enabling the scaling up of multi-readout functional assays.

翻译：组合群组测试虽能降低筛选成本与缩短周转时间，但由于设计复杂性、适用场景差异及实施工具的缺乏，其实际应用仍面临挑战。本文提出PoolPy——一个统一的端到端框架及网络平台，用于在特定检测模式的约束条件下，对定制化的组合群组测试策略进行基准测试、自动化实施与解码分析。我们通过蛋白质-配体相互作用筛选及全基因组分子谱分析案例，验证了PoolPy在多读数功能检测规模化应用中的实用价值。