A dynamic model for functional mapping of biological rhythms.

A dynamic model for functional mapping of biological rhythms.
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DOI:
10.1080/17513758.2010.491558
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发表时间:
2011-01
影响因子:
2.8
通讯作者:
Wu R
Wu R
中科院分区:
生物学4区
文献类型:
--
作者:
Fu G;Luo J;Berg A;Wang Z;Li J;Das K;Li R;Wu R

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功能定位是一种定位调控生物性状动态模式的数量性状基因座(QTL)的统计学方法。该方法将生物学复杂性的数学方面集成到遗传作图的混合模型中,并通过比较基因型特异性曲线参数来检验QTL的遗传效应。作为一种定量描述系统动态行为的方法,微分方程已被证明是建模和揭示生物过程的生化、分子和细胞机制(如生物节律)的强大工具。具有生物学意义的微分方程的功能映射的设备提供了新的见解的遗传控制的任何动态过程。我们制定了一个新的功能映射框架的动态生物节律,将一组常微分方程(ODE)。采用四阶龙格-库塔算法对常微分方程的参数进行了估计。新模型将发现其对理解复杂生物节律中基因相互作用和发育途径之间的相互作用的影响。
Functional mapping is a statistical method for mapping quantitative trait loci (QTLs) that regulate the dynamic pattern of a biological trait. This method integrates mathematical aspects of biological complexity into a mixture model for genetic mapping and tests the genetic effects of QTLs by comparing genotype-specific curve parameters. As a way of quantitatively specifying the dynamic behavior of a system, differential equations have proven to be powerful for modeling and unraveling the biochemical, molecular, and cellular mechanisms of a biological process, such as biological rhythms. The equipment of functional mapping with biologically meaningful differential equations provides new insights into the genetic control of any dynamic processes. We formulate a new functional mapping framework for a dynamic biological rhythm by incorporating a group of ordinary differential equations (ODE). The Runge-Kutta fourth order algorithm was implemented to estimate the parameters that define the system of ODE. The new model will find its implications for understanding the interplay between gene interactions and developmental pathways in complex biological rhythms.
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