Automation of DNA Computing Readout Method Implemented on LightCycler System

M. F. Saaid, Z. Ibrahim, M. Khalid, N. Sarmin
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Abstract

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.
DNA计算读出方法在LightCycler系统上的自动化实现
本文提出了一种基于实时聚合酶链反应(PCR)的DNA计算读出自动化方法,该方法采用体外-硅混合方法。在体外阶段,并行进行基于taqman的实时PCR反应,以与编码已知起始节点的DNA序列的相对距离来研究哈密顿路径问题(HPP)中节点对的排序。在LightCycler系统上进行了实时PCR实验。采用模糊c -均值(FCM)聚类算法自动识别实时PCR中的两种不同反应,然后采用计算机算法提取哈密顿路径。构建了一个名为silolight的软件来实现FCM聚类和计算机算法,该算法返回所需的哈密顿路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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