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WorldCIST'19 - 7th World Conference on Information Systems and Technologies

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A NoSQL Solution For Bioinformatics Data Provenance Storage

The provenance data can support experiments reproducibility providing the history of the data in a scientific workflow. Bioinformatics generates an increasing amount of data, which are often analyzed employing workflows. This paper proposes a way to manage automatic executions of Bioinformatics workflows, storing its provenance and raw data in the MongoDB NoSQL database system. It uses a program that manages three different data models, a referenced, an embedded, and hybrid data model for purposes of comparison. The results showed general advantages and disadvantages for each data model and some particularities of Bioinformatics.

Ingrid Santana
University of Brasilia, UnB, Brasilia
Brazil

Waldeyr Silva
Federal Institute of Goiás, IFG
Brazil

Maristela Holanda
University of Brasilia, UnB, Brasilia
Brazil

 


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