A Study of Genomic Data Provenance in NoSQL Document-Oriented Database Systems

被引：0
|
作者：
Guimaraes, Valeria [1 ]
Hondo, Fernanda [1 ]
Almeida, Rodrigo [1 ]
Vera, Harley [1 ]
Holanda, Maristela [1 ]
Araujo, Aleteia [1 ]
Walter, Maria Emilia [1 ]
Lifschitz, Sergio [2 ]
机构：
[1] Univ Brasilia, Dept Comp Sci, Brasilia, DF, Brazil
[2] Pontifical Catholic Univ Rio de Janeiro, Dept Informat, Rio De Janeiro, Brazil
来源：
PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE | 2015年
关键词：
provenance; workflow; genomics; bioinformatics; data modeling; NoSQL; MongoDB;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
this work considers a scientific experiment as a computational workflow. Provenance models store details of each workflow execution, including produced data, computational tools parameters and their versions, among others. This way, scientists can review details of a particular workflow execution, compare information generated among different executions and plan new ones efficiently. In the bioinformatics domain, particularly in the presence of large volumes of data, persistency of those data generated during the workflow execution is still a research challenge. In this article, we consider a study on provenance data storage for bioinformatics in a document-oriented NoSQL database system. We present data modeling issues and discuss an actual implementation into MongoDB.
引用
收藏
页码：1525 / 1531
页数：7
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