Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency
Joint Authors
Aniceto, Rodrigo
Xavier, Rene
Guimarães, Valeria
Hondo, Fernanda
Holanda, Maristela
Walter, Maria Emilia
Lifschitz, Sérgio
Source
International Journal of Genomics
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-19
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Aniceto, Rodrigo& Xavier, Rene& Guimarães, Valeria& Hondo, Fernanda& Holanda, Maristela& Walter, Maria Emilia…[et al.]. 2015. Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency. International Journal of Genomics،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1066023
Modern Language Association (MLA)
Aniceto, Rodrigo…[et al.]. Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency. International Journal of Genomics No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1066023
American Medical Association (AMA)
Aniceto, Rodrigo& Xavier, Rene& Guimarães, Valeria& Hondo, Fernanda& Holanda, Maristela& Walter, Maria Emilia…[et al.]. Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency. International Journal of Genomics. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1066023
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1066023