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Team:Peking University/Modeling
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=Mathematical Analysis= | =Mathematical Analysis= | ||
==Introduction== | ==Introduction== | ||
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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. | 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]] | |
| + | #[[Genetic circuit]] | ||
Revision as of 14:16, 29 October 2008
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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
