Difference between revisions of "Team:KU Leuven/Modeling"
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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.<br/> | 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.<br/> | ||
− | <a href="https://2015.igem.org/Team:KU_Leuven/ | + | <a href="https://2015.igem.org/Team:KU_Leuven/Modeling/Top">Read more</a> |
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Revision as of 13:33, 24 July 2015
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.
Read more
Top level model
Our top layer model relies on a Keller-Segel type system of differential equations. These equations are simulated using finite differences.
Learn more
Hybrid model
Coming Soon
Internal model
Coming Soon