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1 Journal of Medical Informatics & Technologies

1 2012

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Analysis of entity-attribute-value model applications in freely available database management systems for dna microarray data processing

Waller T., Zapart D., Tkacz M., Wróbel Z.

Journal of Medical Informatics & Technologies

2012

Vol. 20

59--63

Large volumes of data are generated during DNA microarrays experiments. Database management systems (DBMS) are increasingly applied to these data, providing optimum processing and management from multiple microarray experiments. In this study, freely accessible DBMS software versions were compared (Microsoft SQL Server 2008 Express Edition, Oracle Database 10g Express Edition, DB2 Express-C 9.7.2, MySQL 5.1, and PostgreSQL 9.0). We examined them in the context of possible Entity-Attribute-Value (EAV) application as an optimal organization method for microarray data. It was confirmed in the comparative analysis of component data processing methods, consistent with the EAV model, that efficient methods for microarray data analysis are available in Microsoft SQL Server 2008 Express Edition and PostgreSQL 9.0 systems. Also, DNA microarray data processing was confirmed to be more efficient with Microsoft SQL Server 2008 Express Edition as compared with PostgreSQL 9.0. The EAV method was also shown to be suitable for use with open-source versions of DBMS software as an optimum storage model for DNA microarray data. In terms of data processing methods and performance, the Microsoft SQL Server 2008 Express Edition proved to be the best among compared database systems.