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. | |
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- | + | ==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 |