Design of Efficient storage Exploiting Structural Similarity in Microarray Data 


Vol. 16,  No. 5, pp. 643-650, Oct.  2009
10.3745/KIPSTD.2009.16.5.643


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  Abstract

As one of typical techniques for acquiring bio-information, microarray has contributed greatly to development of bioinformatics. Although it is established as a core technology in bioinformatics, it has difficulty in sharing and storing data because data from experiments has huge and complex type. In this paper, we propose a new method which uses the feature that microarray data format in MAGE-ML, a standard format for exchanging data, has frequent structurally similar patterns. This method constructs compact database by simplifying MAGE-ML schema. In this method, Inlining techniques and newly proposed classification techniques using structural similarity of elements are used. The structure of database becomes simpler and number of table-joins is reduced, performance is enhanced using this method.

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  Cite this article

[IEEE Style]

J. H. Yun, D. K. Shin, D. I. Shin, "Design of Efficient storage Exploiting Structural Similarity in Microarray Data," The KIPS Transactions:PartD, vol. 16, no. 5, pp. 643-650, 2009. DOI: 10.3745/KIPSTD.2009.16.5.643.

[ACM Style]

Jong Han Yun, Dong Kyu Shin, and Dong Il Shin. 2009. Design of Efficient storage Exploiting Structural Similarity in Microarray Data. The KIPS Transactions:PartD, 16, 5, (2009), 643-650. DOI: 10.3745/KIPSTD.2009.16.5.643.