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 2022 will be a workshop-style event with oral presentations, breakout sessions, and tutorials. The three 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.

COMBINE 2022 will be an in-person meeting (not virtual) organized as a satellite to the ICSB 2022 meeting in Berlin. There will be a series of tutorials related to various COMBINE standards running from October 6th – 7th.

To submit an abstract for the COMBINE forum on Saturday, October 8, please use the official ICSB abstract submission portal on EasyChair:

Agenda

COMBINE Community meet-up Oct 6-7, 9 AM – 6 PM

COMBINE Forum Oct 8, 8 AM – 1:30 PM at Humboldt University of Berlin, Philippstraße 13, Haus 20.

Details and call for papers to come. Be on the lookout!

Important Dates

Breakout/tutorial submission deadline
September 30, 2022 Talk abstract submission deadline. Submit via ICSB Easychair.
August 31, 2022 Earlybird registration deadline.

Registration 

Registration for the meeting is open and is free. Please register at the link above as soon as possible. This will help us plan the schedule and match your interests to the timing of the breakouts, etc.

Organizers 

The COMBINE 2022 meeting is organized by Dagmar Waltemath and Matthias König.

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