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Automation of DNA Computing Readout Method Implemented on LightCycler System

机译:浅循环系统实施DNA计算读数方法的自动化

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In this paper, an automation of DNA computing readout method based on real-time polymerase chan reaction (PCR) is developed, which employs a hybrid in vitro-in silico approach. In the in vitro phase, TaqMan-based real-time PCR reactions are performed in parallel, to investigate the ordering of pairs of nodes in the Hamiltonian path problem (HPP), in terms of relative distance from the DNA sequence encoding the known start node. The real-time PCR experiment is implemented on LightCycler system. Fuzzy C-means (FCM) clustering algorithm is used to identify automatically two different reactions in real-time PCR, followed by in silico algorithm, which in turn, enables extraction of the Hamiltonian path. A software called SILICOLIGHT is built to implement the FCM clustering and the in silico algorithm, which return the desired Hamiltonian path.
机译:在本文中,开发了基于实时聚合酶陈反应(PCR)的DNA计算读出方法的自动化,其在硅片中使用杂交方法。在体外阶段,基于Taqman的实时PCR反应并行进行,以研究Hamilton Path问题(HPP)中的节点对的排序,就像编码已知的起始节点的DNA序列的相对距离。实时PCR实验是在轻型循环系统的系统上实现的。模糊C-mancy(FCM)聚类算法用于在实时PCR中自动识别两种不同的反应,然后在Silico算法中依次进行,从而实现Hamiltonian路径的提取。构建名为Silicolight的软件以实现FCM集群和Silico算法,返回所需的Hamiltonian路径。

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