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Using Molecular Computing for a Data Analysis Prototype

机译:使用分子计算进行数据分析的原型

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We present a promising development of a data analysis model,DADNA,with operational procedures by using deoxyribonucleic acid (DNA) computing solution to exploit vast parallelism.The proposed solution is based mainly on the innovative bio-operations by Adleman and Amos to implement table design,simulate relational algebra,cluster and solve query problems.DADNA consists of three layers: (1) a Data definition layer,in which the records are represented by DNA strands,(2) an Operational procedure layer,in which fundamental relational and extended operations are executed by DNA-based procedures,and (3) a Query-analysis layer,in which the query is executed,involving the construction of relational tables and executing the operations in the Operational procedure layer.Hence,the DNA based data cluster design proceeded with our well-organized scheme.Our proposed model can be used as an algorithmic basis for database operational procedures embedded in biomolecular computations for the further development and performing generalized data analysis with inherent molecular parallelism.
机译:我们提出了一种有前景的数据分析模型DADNA,该模型具有通过使用脱氧核糖核酸(DNA)计算解决方案来利用巨大并行性的操作程序。拟议的解决方案主要基于Adleman和Amos的创新生物操作来实现表格设计,模拟关系代数,聚类并解决查询问题。DADNA包括三层:(1)数据定义层,其中记录由DNA链表示;(2)操作过程层,其中基本的关系和扩展操作由基于DNA的过程执行,以及(3)查询分析层,在该层中执行查询,涉及建立关系表并在操作过程层中执行操作。因此,进行了基于DNA的数据集群设计我们提出的模型可以用作生物分子计算中嵌入的数据库操作程序的算法基础,以进一步开发并利用固有的分子平行性进行广义数据分析。

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