From 2009.igem.org
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| - | We had our first meeting and we talked about different aspect of a successful modeling team. The fact that if we don't understand the system, we can't build/model it. As computer scientists we need to make a bridge and communicate with Biologist in a common language that both will understand. Also since we are thinking about using Membrane Computing (MC) approach, we have to sit down in near future and define our formalism; how we want to define a cell in terms of symbolic expression? We have already agreed that our main tool for this modeling will be [http://www.wolfram.com Wolfram's Mathematica]. The main advantage of Wolfram's Mathematica is its ability to work with symbolic expressions and pattern matching. Because we are planning to have an agent based approach with simulating a cell as well as colony of cells, Mathematica seems to be much more suitable over MathLab. However since we have to re-invent the wheel, it is much more work and we really need to think about this and get it right. | + | We had our first meeting and we talked about different aspects of a successful modeling team. The fact that if we don't understand the system, we can't build/model it. As computer scientists we need to make a bridge and communicate with Biologist in a common language that both will understand. Also since we are thinking about using Membrane Computing (MC) approach, we have to sit down in near future and define our formalism; how we want to define a cell in terms of symbolic expressions? We have already agreed that our main tool for this modeling will be [http://www.wolfram.com Wolfram's Mathematica]. The main advantage of Wolfram's Mathematica is its ability to work with symbolic expressions and pattern matching. Because we are planning to have an agent based approach with simulating a cell as well as colony of cells, Mathematica seems to be much more suitable over MathLab. However since we have to reinvent the wheel, it is much more work and we really need to think about this and get it right. |
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Revision as of 14:38, 15 August 2009
University of Calgary
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CAROL
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WIKI CODING HERE
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CHINMOYEE
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EMILY
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FAHD
Day One: Duties and Responsibilities of the Marketing Team
Today we had a group meeting where we discussed the different types of approaches that we should take towards marketing our project to pharmaceutical companies and oil & gas companies. We also discussed strategies to gain media and public attention and ways to fundraise for our project.
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IMAN
Bridge Between Biologists & Computer Scientists to implement Membrane Computing formalism.
We had our first meeting and we talked about different aspects of a successful modeling team. The fact that if we don't understand the system, we can't build/model it. As computer scientists we need to make a bridge and communicate with Biologist in a common language that both will understand. Also since we are thinking about using Membrane Computing (MC) approach, we have to sit down in near future and define our formalism; how we want to define a cell in terms of symbolic expressions? We have already agreed that our main tool for this modeling will be [http://www.wolfram.com Wolfram's Mathematica]. The main advantage of Wolfram's Mathematica is its ability to work with symbolic expressions and pattern matching. Because we are planning to have an agent based approach with simulating a cell as well as colony of cells, Mathematica seems to be much more suitable over MathLab. However since we have to reinvent the wheel, it is much more work and we really need to think about this and get it right.
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JAMIE
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JEREMY
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KATIE
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KEVIN
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MANDY
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PATRICK
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PRIMA
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STEFAN
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VICKI
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