SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems.

Area of Science:

• Computational biology
• Systems biology
• Bioinformatics

Background:

• Computational models are crucial for understanding biological systems.
• Rapid advancements in experimental approaches, data analysis, and algorithms drive computational modeling.
• Interdisciplinary collaboration is essential for progress in this field.

Purpose of the Study:

• To foster data-driven computational modeling of biological systems.
• To encourage the development of novel tools, approaches, and predictive models.
• To deepen the understanding of biological systems through community engagement.

Main Methods:

• Establishment of the Community of Special Interest (COSI) in Computational Modelling of Biological Systems (SysMod) in 2016.
• Organization of annual meetings at the Intelligent Systems for Molecular Biology (ISMB) conference.
• Maintenance of online resources including a forum, meeting calendar, and YouTube channel.

Main Results:

• SysMod has evolved into a dynamic and expanding community since its inception.
• Increasing numbers of contributions and participants demonstrate community growth.
• Members actively contribute to annual meetings and workshops, focusing on specific modeling techniques and standardization.

Conclusions:

• The SysMod community has successfully fostered interdisciplinary collaboration in computational systems modeling.
• Continued growth and active participation highlight the community's impact.
• The community plays a vital role in advancing the field of computational modeling for biological systems.