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BoNesis: a Python-Based Declarative Environment for the Verification, Reprogramming, and Synthesis of Most Permissive Boolean Networks

Stéphanie Chevalier, Déborah Boyenval, Gustavo Magaña López, Théo Roncalli, Athénaïs Vaginay, Loïc Paulevé. BoNesis: a Python-Based Declarative Environment for the Verification, Reprogramming, and Synthesis of Most Permissive Boolean Networks. In Roberta Gori, Paolo Milazzo, Mirco Tribastone, editors, Computational Methods in Systems Biology - 22nd International Conference, CMSB 2024, Pisa, Italy, September 16-18, 2024, Proceedings. Volume 14971 of Lecture Notes in Computer Science, pages 71-79, Springer, 2024. [doi]

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Stéphanie Chevalier

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Déborah Boyenval

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Gustavo Magaña López

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Théo Roncalli

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Athénaïs Vaginay

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Loïc Paulevé

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