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HIG — An in-memory database platform enabling real-time analyses of genome data

机译:HIG - 内存中的数据库平台,实现了基因组数据的实时分析

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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.
机译:DNA和RNA测序所需的成本和时间通过使用下一代测序技术而下降,例如,在不到两天的时间内产生最多30倍的覆盖读数。然而,其解释和分析仍然是耗时的过程,可能需要数周。在这项工作中,我们提供了一种完全新的架构来处理和分析基因组数据。它构建在内存数据库技术上,以消除耗时的基于文件的数据操作,并启用实时数据分析。我们发现,使用内存技术作为基因组数据处理的整体组件及其分析显着降低了获得相关结果的时间和成本,例如,在个性化医学过程中。

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