Team:Peking University/Modeling

From 2008.igem.org

(Difference between revisions)
(Details)
 
(6 intermediate revisions not shown)
Line 1: Line 1:
<html>
<html>
-
<div align="center"><img src="https://static.igem.org/mediawiki/2008/0/00/Modelingpage.jpg" align="center" width="900" height="420" border="0" /></div>
+
<div align="center"><img src="https://static.igem.org/mediawiki/2008/d/db/Sub_page_model.jpg" align="center" width="900" height="219" border="0" /></div>
</html>
</html>
 +
{| style="color:#ba0145;background-color:#dda303;" cellpadding="3" cellspacing="1" border="1" bordercolor="#fff" width="95%" align="center"
{| style="color:#ba0145;background-color:#dda303;" cellpadding="3" cellspacing="1" border="1" bordercolor="#fff" width="95%" align="center"
Line 7: Line 8:
!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 Submitted to the Registry]]
+
!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]]
Line 27: Line 28:
#Part 2 [[Genetic Circuit]]
#Part 2 [[Genetic Circuit]]
#Part 3 [[Integration of Two Models]]
#Part 3 [[Integration of Two Models]]
-
#Part 4 [[Sample Result]]
+
{|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]


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

  1. Give out sequence spread space by mutation over time
  2. Calculate for the efficiency from a specific sequence to a goal sequence over a fixed time

Details

  1. Part 1 Mutation Model
  2. Part 2 Genetic Circuit
  3. Part 3 Integration of Two Models
Home Page