Title :
HIG — An in-memory database platform enabling real-time analyses of genome data
Author :
Schapranow, Matthieu-P ; Plattner, Hasso
Author_Institution :
Enterprise Platform & IntegrationConcepts, Hasso Plattner Inst., Potsdam, Germany
Abstract :
Costs and time required for sequencing of DNA and RNA declined through use of next generation sequencing technology, e.g. up to 30-times coverage reads are generated in less than two days. However, its interpretation and analysis is still a time-consuming process potentially taking weeks. In this work, we present a completely new architecture for processing and analyzing genome data. It builds on the in-memory database technology to eliminate time-consuming file-based data operations and to enable real-time data analysis. We found out that the use of in-memory technology as an integral component for genome data processing and its analysis significantly reduces time and costs to obtain relevant results, e.g. in the course of personalized medicine.
Keywords :
DNA; RNA; biology computing; data analysis; database management systems; genomics; DNA sequencing; HIG; RNA sequencing; genome data processing; in-memory database platform; in-memory database technology; integral component; next generation sequencing technology; real-time genome data analysis; Benchmark testing; Bioinformatics; Computer architecture; Data processing; Databases; Genomics; Pipelines; Genome Data; In-Memory Database Technology; Next-Generation Sequencing; Personalized Medicine; Real-Time Data Analysis;
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
DOI :
10.1109/BigData.2013.6691638