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COMBINE 2026 : 2026 Computational Modeling in Biology Network (COMBINE) Workshop | |||||||||||||||
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Call For Papers | |||||||||||||||
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2026 Computational Modeling in Biology Network (COMBINE) Workshop
Keele University, UK, 7-10 September 2026 https://co.mbine.org/events/ The “Computational Modeling in Biology” Network (COMBINE) is an initiative to coordinate the development of various community standards and formats in systems biology, synthetic biology, and related fields. COMBINE 2026 will be hosted at Keele University, UK, from September 7th to 10th, 2026. This workshop-style event will include talks, tutorials, and breakout sessions for detailed discussions about these standards, related efforts, and tools. All information, including important dates, submissions, registrations, venue details, travel, and accommodation, is available at: https://co.mbine.org/events/ REGISTRATION ------------ We are pleased to announce that registration is now open. If registering to attend in person, please note that it is a two-step process - first the Google form, and then the Keele website to pay the in-person registration fee. ABSTRACT SUBMISSION ------------------- Abstract submission is open for talks, tutorials, breakout sessions, lightning talks, and posters. IMPORTANT DATES ---------------------------- Submission deadline: 19 July 2026 (talk, breakout, tutorial, lightning talk, and poster) Notification of acceptance: 26 July 2026 Registration deadline: 2 August 2026 (late registration deadline: 23 August 2026) COMBINE 2026: 7-10 September 2026 TOPICS OF INTEREST ------------------ Topics of interest for the meeting include, but are not limited to: - Data exchange, pipelines, and model standards for systems and synthetic biology - Visualization and graphical notation standards for systems and synthetic biology - Standards for sharing and analyzing biological pathway data - Standards for computational biological models and modeling support - Metadata description and model annotation in COMBINE standard formats - Implementation of COMBINE standards in tools, databases, and other resources - Integrated model and data management for systems and synthetic biology - Standardization of Artificial Intelligence approaches in biological modeling - Emerging standardization needs and multicellular modeling - Community aspects of COMBINE |
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