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Team:Peking University/Modeling
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!align="center"|[[Team:Peking_University/Team|The Team]] | !align="center"|[[Team:Peking_University/Team|The Team]] | ||
!align="center"|[[Team:Peking_University/Project|The Project]] | !align="center"|[[Team:Peking_University/Project|The Project]] | ||
| - | !align="center"|[[Team:Peking_University/Parts|Parts | + | !align="center"|[[Team:Peking_University/Parts|Parts]] |
!align="center"|[[Team:Peking_University/Modeling|Modeling]] | !align="center"|[[Team:Peking_University/Modeling|Modeling]] | ||
!align="center"|[[Team:Peking_University/Misc&Fun|Misc&Fun]] | !align="center"|[[Team:Peking_University/Misc&Fun|Misc&Fun]] | ||
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| - | == | + | =Mathematical Analysis= |
| + | ==Introduction== | ||
| + | The circuit constructed in vivo in eukaryotic system plays random mutation and artificial function, which theoretically involves proteins and RNAs. However, it remains a question for the efficiency of the random mutation, or the mutation spread space over time. Here we represent a mathematical analysis to solve these problems theoretically. | ||
| + | ==Goal== | ||
| + | #Give out sequence spread space by mutation over time | ||
| + | #Calculate for the efficiency from a specific sequence to a goal sequence over a fixed time | ||
| - | + | ==Details== | |
| - | + | #Part 1 [[Mutation Model]] | |
| - | [[ | + | #Part 2 [[Genetic Circuit]] |
| - | | | + | #Part 3 [[Integration of Two Models]] |
| - | [[ | + | {|align="right" |
| + | |[[Team:Peking_University|Home Page]] | ||
|} | |} | ||
Latest revision as of 04:36, 30 October 2008
| Home | The Team | The Project | Parts | Modeling | Misc&Fun | [http://www.openwetware.org/wiki/IGEM:Peking_University/2008 Our OWW] | [http://www.openwetware.org/wiki/IGEM:Peking_University/2008/Notebook Notebook] |
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Contents |
Mathematical Analysis
Introduction
The circuit constructed in vivo in eukaryotic system plays random mutation and artificial function, which theoretically involves proteins and RNAs. However, it remains a question for the efficiency of the random mutation, or the mutation spread space over time. Here we represent a mathematical analysis to solve these problems theoretically.
Goal
- Give out sequence spread space by mutation over time
- Calculate for the efficiency from a specific sequence to a goal sequence over a fixed time
Details
- Part 1 Mutation Model
- Part 2 Genetic Circuit
- Part 3 Integration of Two Models
| Home Page |
