文章基本信息

标题：A Novel Big Data Storage Model for Protein-Protein Interaction and Gene-Protein Associations
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作者：M. Atif Sarwar ; Hira Yaseen ; Javed Ferzund 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2017
卷号：8
期号：5
DOI：10.14569/IJACSA.2017.080543
出版社：Science and Information Society (SAI)
摘要：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.
关键词：Hadoop; HBase; Big Data; Apache Drill; Protein-Protein Interaction; Gene-Protein Association; Gene-Disease Associations