Analysis of genetic data in for implementation of compression algorithm in Alzheimer´s Disease database

Author

Yassin, Ihsan M. ; Abidin, Husna Z. ; Baharom, Rahimi ; Saat, Ezril H Mat ; Zabidi, Azlee

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia

fYear

2010

fDate

Nov. 30 2010-Dec. 2 2010

Firstpage

509

Lastpage

514

Abstract

A database to store genetic information of Alzheimer´s Disease (AD) patients is necessary to spur research in development of drugs suitable for local patients. Works by Abdul Rahman et. al. had created this database. However, the database contains large amounts of redundant genetic data. The storage of uncompressed data is suboptimal because it would consume large storage space as well as slow down transmissions over networks. In this paper, we propose the integration of compression algorithm into the AD genetic database to optimize its storage space. We describe our implementation as well as the results. The compression algorithm had managed to reduce the storage space of the AD database to 38.89% of the original storage space.

Keywords

bioinformatics; data compression; database management systems; diseases; drugs; genetics; information storage; medical computing; Alzheimer´s disease database; compression algorithm implementation; drugs; genetic data analysis; genetic information database; redundant genetic data; storage space optimisation; Atmospheric measurements; Bioinformatics; Biomedical imaging; Databases; Gallium; Genetics; Lead; Alzheimer´s Disease; bioinformatics; compression; database;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-7599-5

Type

conf

DOI

10.1109/IECBES.2010.5742291

Filename

5742291