DocumentCode
659489
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
fYear
2013
fDate
6-9 Oct. 2013
Firstpage
691
Lastpage
696
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Big Data, 2013 IEEE International Conference on
Conference_Location
Silicon Valley, CA
Type
conf
DOI
10.1109/BigData.2013.6691638
Filename
6691638
Link To Document