2015 Fiscal Year Final Research Report
Statistical analysis of gene expression via nonequuilibrium theory
Project/Area Number |
25870171
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Soft computing
Life / Health / Medical informatics
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Research Institution | The University of Tokyo |
Principal Investigator |
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Project Period (FY) |
2013-04-01 – 2016-03-31
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Keywords | 遺伝子発現 / 確率過程 / 概日時計 / システム生物学 |
Outline of Final Research Achievements |
The objective of the present project was statistical analysis of stochastic gene expression systems through nonequilibrium statistical mechanics. Developing analysis methods based on nonequilibrium statistical mechanics, we analyzed several cases such as noisy, oscillatory systems, and those subject to external input signals. For the oscillatory systems, we studied an optimal oscillator with the variational method which can satisfy entrainability and regularity simultaneously, which are tradeoff factors. Through this analysis, we found that circadian clocks of terrestrial species optimally satisfy the two constraints. We also developed a solution technique for stochastic differential equations subject to external input signals. With a use of this method, we succeeded to calculate time-dependent probability density function subject to external input signals.
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Free Research Field |
生物物理
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