Team:USTC-Software
From 2011.igem.org
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<span lang="EN-US" xml:lang="EN-US">Our project this year is named Lachesis, which consists of the following</span> | <span lang="EN-US" xml:lang="EN-US">Our project this year is named Lachesis, which consists of the following</span> | ||
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- | + | 1.Automatic generation of biological reaction network simply from biobrick assemblys.<br/> | |
- | + | 2.Data exchange,Reaction network visualization.<br/> | |
- | + | 3.Automatic parameter fitting of a mathematical model for a desired behavior, according to experiment data or hand drawn curves using evolution algorithm.<br/> | |
- | + | 4.Evaluation of the workablility or robustness of a biological reaction network using pca and entropy.<br/> | |
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Latest revision as of 12:42, 27 October 2011
USTC-Software
Lachesis
Team
![product](https://static.igem.org/mediawiki/2011/7/78/USTC_Software_image_02.jpg)
Our team is formed of a group of diligent students coming from various departments of USTC. In the School of Life Sciences, we devoted our perspirations to this project for nearly a year.
Models
![product](https://static.igem.org/mediawiki/2011/c/c8/USTC_Software_image_03.jpg)
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
![product](https://static.igem.org/mediawiki/2011/3/3c/USTC_Software_image_04.jpg)
We conducted a survey, during the National Science Week, to discover USTC students' opinion on Synthetic Biology.
Project
![image](https://static.igem.org/mediawiki/2011/f/fd/USTC_Software_image_05.jpg)
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.
Sponsers
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