PoolPy: Automated combinatorial pooling for high-throughput molecular profiling

[2509.03481] PoolPy: Automated combinatorial pooling for high-throughput molecular profiling Skip to main content Search Submit Donate Log in Computer Science > Information Theory arXiv:2509.03481 (cs) [Submitted on 3 Sep 2025 ( v1 ), last revised 25 Feb 2026 (this version, v2)] Title: PoolPy: Automated combinatorial pooling for high-throughput molecular profiling Authors: Lorenzo Talamanca , Julian Trouillon View PDF HTML (experimental) 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. Subjects: Information Theory (cs.IT) Cite as: arXiv:2509.03481 [cs.IT] (or arXiv:2509.03481v2 [cs.IT] for this version) https://doi.org/10.48550/arXiv.2509.03481 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1038/s41467-026-77055-5 Focus to learn more DOI(s) linking to related resources Submission history From: Julian Trouillon [ view email ] [v1] Wed, 3 Sep 2025 17:03:51 UTC (3,968 KB) [v2] Wed, 25 Feb 2026 14:50:01 UTC (9,283 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Additional Features Audio Summary Current browse context: cs.IT < prev | next > new | recent | 2025-09 Change to browse by: cs math math.IT References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

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