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Team:Waterloo/Test
From 2013.igem.org
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<p class="intro">We promote diversity in our iGEM team. Encouraging people of all disciplines to partake in this incredible competition! From the Business faculty, to Arts, to Sciences, to Engineering, and back to Maths. These bunch collaborate in order to plan, design, construct and market our way to victory!<div class="button_01"> | <p class="intro">We promote diversity in our iGEM team. Encouraging people of all disciplines to partake in this incredible competition! From the Business faculty, to Arts, to Sciences, to Engineering, and back to Maths. These bunch collaborate in order to plan, design, construct and market our way to victory!<div class="button_01"> | ||
| - | <a href="https:// | + | <a href="https://2013.igem.org/Team:Waterloo/team">Details</a> </div> </p> </div> |
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<p class="intro">We conducted a survey, during the National Science Week, to discover USTC students' opinion on Synthetic | <p class="intro">We conducted a survey, during the National Science Week, to discover USTC students' opinion on Synthetic | ||
| - | Biology.<div class="button_01"> <a href="https:// | + | Biology.<div class="button_01"> <a href="https://2013.igem.org/Team:Waterloo/humanpractices">Details</a> </div> </p> </div> |
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Revision as of 23:45, 22 April 2013
Lachesis
Team
We promote diversity in our iGEM team. Encouraging people of all disciplines to partake in this incredible competition! From the Business faculty, to Arts, to Sciences, to Engineering, and back to Maths. These bunch collaborate in order to plan, design, construct and market our way to victory!
Models
Biological reaction networks, even small ones, contain a lot of species and reactions and, thus, are hard to build by hand. Our rule-based modeling approach aims at freeing human from such labor.
Human practice
We conducted a survey, during the National Science Week, to discover USTC students' opinion on Synthetic Biology.
Project
Our project this year is named Lachesis, which consists of the following
1.Automatic generation of biological reaction network simply from biobrick assemblys.
2.Data exchange,Reaction network visualization.
3.Automatic parameter fitting of a mathematical model for a desired behavior, according to experiment data or hand drawn curves using evolution algorithm.
4.Evaluation of the workablility or robustness of a biological reaction network using pca and entropy.
2.Data exchange,Reaction network visualization.
3.Automatic parameter fitting of a mathematical model for a desired behavior, according to experiment data or hand drawn curves using evolution algorithm.
4.Evaluation of the workablility or robustness of a biological reaction network using pca and entropy.
line
