Team:Minnesota
From 2009.igem.org
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- | < | + | <h1>Welcome!</h1> |
- | Welcome to the Team Minnesota Wiki for iGEM 2009! | + | Welcome to the Team Minnesota Wiki for iGEM 2009! |
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- | We are a team of undergraduate and graduate students along with many advisors. This is the second year that Minnesota has sent a team to iGEM. Last year we were runners-up for the Best New BioBrick part (Natural) and we hope to accomplish even more with our design of a logical AND gate in <i>E. coli</i> this year | + | We are a team of undergraduate and graduate students along with many advisors. This is the second year that Minnesota has sent a team to iGEM. Last year we were runners-up for the Best New BioBrick part (Natural) and we hope to accomplish even more with our design of a logical AND gate in <i>E. coli</i> this year. |
+ | <h2>The Mission</h2> | ||
+ | [[Image:ANDgatetable.jpg|300px|left]] | ||
+ | A [http://en.wikipedia.org/wiki/AND_gate logical AND gate] behaves according to the truth table to the left. In biological systems, this function is implemented in a gene network with (in our case) a single gene under the control of a single promoter. We endeavor to understand this network at the level of biomolecular interactions and computationally model this complex network, which in turn informs further experiments. | ||
- | + | This work has many implications... |
Revision as of 19:34, 15 July 2009
Home | The Team | The Project | Parts Submitted to the Registry | Modeling | Parts Characterization | Notebook |
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Welcome!
Welcome to the Team Minnesota Wiki for iGEM 2009!
We are a team of undergraduate and graduate students along with many advisors. This is the second year that Minnesota has sent a team to iGEM. Last year we were runners-up for the Best New BioBrick part (Natural) and we hope to accomplish even more with our design of a logical AND gate in E. coli this year.
The Mission
A [http://en.wikipedia.org/wiki/AND_gate logical AND gate] behaves according to the truth table to the left. In biological systems, this function is implemented in a gene network with (in our case) a single gene under the control of a single promoter. We endeavor to understand this network at the level of biomolecular interactions and computationally model this complex network, which in turn informs further experiments.
This work has many implications...