A Novel Big Data Storage Model for Protein-Protein Interaction and Gene-Protein Associations

M Atif,Javed Ferzund,Hina Farooq,Azka Mahmood,Hira Yaseen

doi:10.14569/ijacsa.2017.080543

Abstract

NGS (Next Generation Sequencing) technology has resulted in huge amount of proteomics data that exists in the form of interactions (protein-protein, gene-protein, and gene-disease). ETL (Extraction, Transformation, and Loading) techniques are very useful for Databases. Existing Rational Databases are not unified and having SQL (Structured Query Language). Proteomics data requires improvement for Integration of different Data sources. With the usage of NoSQL (not only SQL), improve the efficiency and performance. For this, a novel based unified model has been designed for protein interactions data (P-P, G-G, and G-D) by using Apache HBase to evaluate given the model, different case studies have been used.

Highlights

Biological data plays an imperative role in Bioinformatics domain that comprises DNA, RNA, Proteins, and Genes (Microarray)
The analysis study has shown that conventional bioinformatics tools cannot cope with the rate of production of such large amount of genomics data
As our NoSQL data model is an integration of different protein-protein interaction databases like OMIM, Biological General Repository for Interaction Datasets (BioGRID), Uniport, HPRD, Ensembl, UniHI, Human Annotated and Predicted Protein Interaction (HAPPI), APID, and MiMI

Summary

Introduction

Biological data plays an imperative role in Bioinformatics domain that comprises DNA, RNA, Proteins, and Genes (Microarray). With the passage of time, these data have been growing very quickly in the form of interactions/associations such as [1,2,3] protein-protein and protein-gene. These interactions provide valuable information about the structure of the cell and their controlling mechanism. For the detection of Protein and Disease interactions, a lot of approaches are [4, 5] designed that improve the accuracy of Biological data interactions. Many researchers are trying to find out Protein and Disease interactions that give important information about their functions and behaviours. Prediction of Biological Processes is very informative [8] for molecular interactions.

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Conclusion