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Individual-Based Modeling of Spatial Dynamics of Chemotactic Microbial Populations
Congjian Ni,
Ting Lu
Bioengineering
Biomedical and Translational Sciences
Physics
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
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Dive into the research topics of 'Individual-Based Modeling of Spatial Dynamics of Chemotactic Microbial Populations'. Together they form a unique fingerprint.
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Keyphrases
Spatial Dynamics
100%
Microbial Population
100%
Individual-based Modelling
100%
Computational Tools
33%
Multiscale Simulation
33%
Synthetic Biology
33%
Equation Model
33%
Partial Differential Equations
33%
Computational Framework
33%
Spatial Structure
33%
Chemotaxis
33%
Cellular Interactions
33%
Two-species
33%
Spatiotemporal Dynamics
33%
Cell Chemotaxis
33%
Isogenic
33%
Molecular Kinetics
33%
Mechanistic Simulation
33%
Statistical Comparison
33%
Population Growth
33%
Range Expansion
33%
Bacterial Chemotaxis
33%
Bacterial Motility
33%
Cellular Movement
33%
Spatial Population
33%
Spatial Ecology
33%
Individual-based
33%
Synthetic Consortia
33%
Immunology and Microbiology
Dynamics
100%
Chemotaxis
100%
Cell Interaction
33%
Population Growth
33%
Biochemistry, Genetics and Molecular Biology
Dynamics
100%
Chemotaxis
100%
Cell-Cell Interaction
33%
Population Growth
33%