Difference between revisions of "Team:KU Leuven/Modeling"
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<p>Mathematical models are indispensable to truly understand the mechanisms of pattern formation. Find out how we use different models to study the small-scale behavior that causes large-scale pattern formation. | <p>Mathematical models are indispensable to truly understand the mechanisms of pattern formation. Find out how we use different models to study the small-scale behavior that causes large-scale pattern formation. | ||
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Revision as of 08:23, 23 July 2015
Modeling
Patterns are fascinating, from the veins of a leaf to the spots on a zebra, from a single cell to a whole organism. Patterns are found everywhere in nature, but how these are formed is not entirely clear. We, the KU Leuven 2015 iGEM team, decided to work on the fundamental mechanisms behind pattern formation. The way cells interact to generate a specific pattern has triggered our curiosity and added a new dimension to the way the patterns are looked upon. Our mission is to create different and astonishing biological patterns with engineered bacteria for a better understanding of nature with the prospect of applying the knowledge in industry.
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Model
Mathematical models are indispensable to truly understand the mechanisms of pattern formation. Find out how we use different models to study the small-scale behavior that causes large-scale pattern formation.
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Simulations
A working model is just half of the work. To fit our model and then fine-tune the experimental conditions, we need to run simulations under different conditions.
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Results
Which patterns did we achieve in our simulations and how do they compare to the wet lab experiments? All your questions are answered are here.
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