Matches in DBpedia 2016-04 for { ?s ?p "The formation of patterns in the growth of bacterial colonies has extensively been studied experimentally. Resulting morphologies appear to depend on the growth conditions. They include well known morphologies such as dense branched morphology (DBM) or diffusion-limited aggregation (DLA), but much complex patterns and temporal behaviour can be found.A large number of studies on pattern formation in bacterial colonies have been performed in Bacillus subtilis and in Proteus mirabilis.Mathematical modeling of colony growth can reproduce the observed morphologies and the effect of environmental changes. Employed models include: Reaction–diffusion system Cellular automata"@en }
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- Bacterial_patterns abstract "The formation of patterns in the growth of bacterial colonies has extensively been studied experimentally. Resulting morphologies appear to depend on the growth conditions. They include well known morphologies such as dense branched morphology (DBM) or diffusion-limited aggregation (DLA), but much complex patterns and temporal behaviour can be found.A large number of studies on pattern formation in bacterial colonies have been performed in Bacillus subtilis and in Proteus mirabilis.Mathematical modeling of colony growth can reproduce the observed morphologies and the effect of environmental changes. Employed models include: Reaction–diffusion system Cellular automata".
- Q4839997 abstract "The formation of patterns in the growth of bacterial colonies has extensively been studied experimentally. Resulting morphologies appear to depend on the growth conditions. They include well known morphologies such as dense branched morphology (DBM) or diffusion-limited aggregation (DLA), but much complex patterns and temporal behaviour can be found.A large number of studies on pattern formation in bacterial colonies have been performed in Bacillus subtilis and in Proteus mirabilis.Mathematical modeling of colony growth can reproduce the observed morphologies and the effect of environmental changes. Employed models include: Reaction–diffusion system Cellular automata".