English

PoolPy: Automated combinatorial pooling for high-throughput molecular profiling

Information Theory 2026-02-26 v2 math.IT

Abstract

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.

Keywords

Cite

@article{arxiv.2509.03481,
  title  = {PoolPy: Automated combinatorial pooling for high-throughput molecular profiling},
  author = {Lorenzo Talamanca and Julian Trouillon},
  journal= {arXiv preprint arXiv:2509.03481},
  year   = {2026}
}
R2 v1 2026-07-01T05:19:35.628Z