WebCM: A Web-Based Platform for Multiuser Individual-Based Modeling of Multicellular Microbial Populations and...

Area of Science:

• Microbiology
• Computational Biology
• Bioinformatics

Background:

• Microbial population dynamics are complex and require advanced simulation tools.
• Existing simulation software often lacks user-friendly interfaces and collaborative features.
• Web-based platforms can enhance accessibility and collaboration in computational biology.

Purpose of the Study:

• To introduce WebCM, a novel web platform for individual-based simulations of microbial populations.
• To provide a user-friendly, browser-based interface for creating, editing, running, and visualizing simulations.
• To leverage existing simulation software (CellModeller) for efficient computation on remote servers.

Main Methods:

• WebCM utilizes the CellModeller software for backend simulations.
• It employs a web-browser interface for model editing, execution, and playback.
• The platform supports simultaneous multi-user access and management of multiple simulations.
• It leverages GPU and CPU parallelization for computational efficiency.

Main Results:

• WebCM enables real-time, interactive 3D graphical representations of simulations.
• Users can inspect simulations at all time points and download results for offline analysis.
• The platform facilitates collaborative research by allowing shared access to computational resources.
• WebCM can be deployed on cloud services or local servers.

Conclusions:

• WebCM provides an accessible and powerful platform for microbial population and community simulations.
• The web-based interface and collaborative features enhance the usability and impact of computational modeling.
• WebCM, by integrating CellModeller, offers efficient simulation capabilities with parallel processing.
• The platform supports both individual laboratory use and inter-laboratory collaboration.