Designing Graphical Data Storage Model for Gene-Protein and Gene-Gene Interaction Networks

Graph is an expressive way to represent dynamic and complex relationships in highly connected data. In today’s highly connected world, general purpose graph databases are providing opportunities to experience benefits of semantically significant networks without investing on the graph infrastructure...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2017-01, Vol.8 (5)
Main Authors: Farooq, Hina, Ferzund, Javed, Mahmood, Azka, Atif, Muhammad
Format: Article
Language:English
Subjects:
Big Data
Computer science
Data acquisition
Data integration
Data models
Data storage
Datasets
Design
Graphs
Information technology
Proteins
Semantic web
Online Access:Get full text
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Summary:Graph is an expressive way to represent dynamic and complex relationships in highly connected data. In today’s highly connected world, general purpose graph databases are providing opportunities to experience benefits of semantically significant networks without investing on the graph infrastructure. Examples of prominent graph databases are: Neo4j, Titan and OrientDB etc. In biological OMICS landscape, Interactomics is one of the new disciplines that focuses mainly on the data modeling, data storage and retrieval of biological interaction data. Biological experiments generate prodigious amount of data in various formats(semi-structured or unstructured). The large volume of such data posses challenges for data acquisition, data integration, multiple data modalities (either data model of storage model, storage, processing and visualization. This paper aims at designing a well suited graphical data storage model for biological information which is collected from major heterogeneous biological data repositories, by using graph database.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2017.080559