Genomic data persistency on a NoSQL database system

Author

Aniceto, Rodrigo ; Xavier, Rene ; Holanda, Maristela ; Walter, Maria Emilia ; Lifschitz, Sergio

Author_Institution

Dept. of Comput. Sci. - CIC, Univ. of Brasilia - UnB, Brasilia, Brazil

fYear

2014

fDate

2-5 Nov. 2014

Firstpage

8

Lastpage

14

Abstract

Persistency of genomic data brings many research challenges. Among them, alternatives to the commonly used relational database systems should be evaluated, to deal with large volumes of data, in particular writing operations and specific modelling issues. In this paper, we present a NoSQL approach to treat genomic data (Cassandra database system), and evaluate both persistency and I/O operations in experiments with real data. Our results show that this approach enables to store, access and manage genomic data with performance gains, when compared to relational database systems.

Keywords

SQL; biology computing; cloud computing; genomics; input-output programs; relational databases; Cassandra database system; I/O operations; NoSQL approach; NoSQL database system; cloud computing; genomic data persistency; relational database system; Bioinformatics; Computers; Data mining; Data models; Genomics; Relational databases; Biological Data; Cassandra; Cloud Computing; DataStax; NoSQL;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on

Conference_Location

Belfast

Type

conf

DOI

10.1109/BIBM.2014.6999304

Filename

6999304