Using Molecular Computing for a Data Analysis Prototype
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.
DNA computing data analysis model query cluster
Kee-Rong Wu Chung-Wei Yeh Chih-Ping Chu
Department of Marine Engineering, National Kaohsiung Marine University, Kaohsiung, Taiwan Department of Management Information System, Kao Yuan University, Kaohsiung, Taiwan Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan,
国际会议
天津
英文
371-375
2012-10-16（万方平台首次上网日期，不代表论文的发表时间）