McComedy
McComedy simulates individual-based dynamics of microbial consumer-resource systems to investigate mechanistic interactions and emergent community behavior.
Key Features:
- Modular Design: Provides a flexible framework combining pre-implemented building blocks that represent physical and biological processes.
- Individual-based Mechanistic Simulation: Simulates behavior and interactions of individual entities using predefined mechanistically sound rules.
- Emergent Dynamics Capture: Produces emergent population and community dynamics from individual-level rules that reflect ecological processes.
- Reproducibility and Validation: Can replicate results of existing studies and has been validated against two distinct literature cases.
Scientific Applications:
- Ecological Research: Investigating ecological mechanisms that drive microbial community and consumer-resource dynamics.
- Educational Purposes: Teaching and exploring concepts of individual-based and consumer-resource ecological modeling.
Methodology:
Simulating individual entities based on predefined mechanistic rules within a modular framework of pre-implemented physical and biological building blocks, with validation by reproducing two literature case studies.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Windows, Linux
- Programming Languages:
- Java
- Added:
- 6/20/2022
- Last Updated:
- 6/20/2022
Operations
Publications
Bogdanowski A, Banitz T, Muhsal LK, Kost C, Frank K. McComedy: A user-friendly tool for next-generation individual-based modeling of microbial consumer-resource systems. PLOS Computational Biology. 2022;18(1):e1009777. doi:10.1371/journal.pcbi.1009777. PMID:35073313. PMCID:PMC8830788.
PMID: 35073313
PMCID: PMC8830788
Funding: - german research foundation: SFB 944, P19, KO 3909/2-1, KO 3909/4-1