The “Computational Modeling in Biology” Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats in systems biology and related fields.

COMBINE 2023 will be a workshop-style event hosted at the Center for Cell Analysis and Modeling at the University of Connecticut School of Medicine, Farmington, CT, USA. The meeting will be held in October 2023, closely aligned with the dates of the International Conference on Systems Biology (ICSB) October 8-12 in Hartford, CT.

The meeting days will include talks about the COMBINE standards and associated or related standardization efforts, presentations of tools using these standards, breakout sessions for detailed discussions as well as tutorials. There are no dedicated poster sessions, but participants are encouraged to bring posters – poster boards will be provided next to meeting places. Some time each day will be left for community discussion and wrap-ups of breakouts and advertisements for following breakouts. It will be primarily an in-person meeting, with individual breakout sessions responsible for enabling remote participation as needed.

Agenda

A draft schedule will be available soon. Note that many events are scheduled somewhat spontaneously at these events; keep an eye out here or on the COMBINE slack for last-minute changes and additions.

Important Dates

Breakout/tutorial submission deadline
September 1, 2023Lightning talk and poster submission deadline
September 15, 2023

Notification of acceptance of breakouts and tutorials
September 7, 2023


DEADLINE for student travel support applications
September 1, 2023

Important Links

Organizers

Local organizers are Michael Blinov (blinov@uchc.edu) and Ion Moraru (moraru@uchc.edu).

Topics of Interest

  • 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