Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks

被引：78
作者：
Scott, Matthew [1 ]
Ingalls, Brian
Kaern, Mads
机构：
[1] Univ Calif San Diego, Dept Phys, Ctr Theoret Biol Phys, La Jolla, CA 92093 USA
[2] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada
[3] Univ Ottawa, Dept Phys, Dept Cellular & Mol Med, Ottawa Inst Syst Biol, Ottawa, ON K1H 8M5, Canada
来源：
CHAOS | 2006年 / 16卷 / 02期
关键词：
D O I：
10.1063/1.2211787
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We discuss two methods that can be used to estimate the impact of internal and external variability on nonlinear systems, and demonstrate their utility by comparing two experimentally implemented oscillatory genetic networks with different designs. The methods allow for rapid estimations of intrinsic and extrinsic noise and should prove useful in the analysis of natural genetic networks and when constructing synthetic gene regulatory systems.
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页数：15
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