title: Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency.
abstract: Rapid advances in high-throughput sequencing techniques have created interesting computational challenges in bioinformatics. One of them refers to management of massive amounts of data generated by automatic sequencers. We need to deal with the persistency of genomic data, particularly storing and analyzing these large-scale processed data. To find an alternative to the frequently considered relational database model becomes a compelling task. Other data models may be more effective when dealing with a very large amount of nonconventional data, especially for writing and retrieving operations. In this paper, we discuss the Cassandra NoSQL database approach for storing genomic data. We perform an analysis of persistency and I/O operations with real data, using the Cassandra database system. We also compare the results obtained with a classical relational database system and another NoSQL database approach, MongoDB.
authors.affiliation: Computer Science Department, University of Brasilia (UNB), 70910-900 Brasilia, DF, Brazil.
authors.forename: Rodrigo
authors.initials: R
authors.lastname: Aniceto
authors.affiliation: Computer Science Department, University of Brasilia (UNB), 70910-900 Brasilia, DF, Brazil.
authors.forename: Rene
authors.initials: R
authors.lastname: Xavier
authors.affiliation: Computer Science Department, University of Brasilia (UNB), 70910-900 Brasilia, DF, Brazil.
authors.forename: Valeria
authors.initials: V
authors.lastname: Guimarães
authors.affiliation: Computer Science Department, University of Brasilia (UNB), 70910-900 Brasilia, DF, Brazil.
authors.forename: Fernanda
authors.initials: F
authors.lastname: Hondo
authors.affiliation: Computer Science Department, University of Brasilia (UNB), 70910-900 Brasilia, DF, Brazil.
authors.forename: Maristela
authors.initials: M
authors.lastname: Holanda
authors.affiliation: Computer Science Department, University of Brasilia (UNB), 70910-900 Brasilia, DF, Brazil.
authors.forename: Maria Emilia
authors.initials: ME
authors.lastname: Walter
authors.affiliation: Informatics Department, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), 22451-900 Rio de Janeiro, RJ, Brazil.
authors.forename: Sérgio
authors.initials: S
authors.lastname: Lifschitz