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{"application": "software-mentions", "version": "0.9.0-SNAPSHOT", "revision": "54efbc6", "date": "2026-10-14T14:46+0000", "md5": "C2726A8B3446CE25B782CF306D144F78", "biblio": {"doi": "10.1007/978-3-031-71671-3_6", "title": "BoNesis: a Python-Based Declarative Environment for the Verification, Reprogramming, and Synthesis of Most Permissive Boolean Networks", "authors": "St\u00e9phanie Chevalier, D\u00e9borah Boyenval, Gustavo Maga\u00f1a-L\u00f3pez, Th\u00e9o Roncalli, Ath\u00e9na\u00efs Vaginay, Lo\u00efc Paulev\u00e9"}, "mentions": [{"type": "software", "software-type": "component", "software-name": {"rawForm": "BoNesis", "normalizedForm": "BoNesis", "offsetStart": 0, "offsetEnd": 7}, "language": {"rawForm": "Python", "normalizedForm": "Python"}, "context": "BoNesis is a Python library which offers a declarative framework for the synthesis of Boolean networks from advanced dynamical properties, such as reachability, bifurcation, minimal trap spaces, stable states, and mutations.", 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