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(to be completed)

 


ThinkMind // International Journal On Advances in Life Sciences, volume 6, numbers 1 and 2, 2014 // View article lifsci_v6_n12_2014_2


In-Memory Computing Enabling Real-time Genome Data Analysis

Authors:
Matthieu-P. Schapranow
Franziska Häger
Cindy Fähnrich
Emanuel Ziegler
Hasso Plattner

Keywords: Genome Data Analysis, Process Integration, In-Memory Database Technology, Precision Medicine, Next-Generation Sequencing, Alignment, Variant Calling

Abstract:
Latest medical diagnostics, such as genome sequencing, generate increasing amounts of "big medical data". Healthcare providers and medical experts are facing challenges outside of their original field of expertise, such as data processing, data analysis, or data interpretation. Specific software tools optimized for the use by the target audience as well as systematic processes for data processing and analysis in clinical and research environments are still missing. Our work focuses on the integration of data acquired from latest next-generation sequencing technology, its systematical processing, and instant analysis for researchers and clinicians in the course of precision medicine. We focus on the medical field of oncology to optimize the time spent on acquiring, combining, and analyzing relevant data to make well-informed treatment decisions based on latest international knowledge. We share our research results on building a distributed in-memory computing platform for genome data processing, which enables instantaneous analysis of genome data for the first time. For that, we present our technical foundation and building blocks of in-memory technology as well as business processes to integrate genome data analysis in the clinical routine.

Pages: 11 to 29

Copyright: Copyright (c) to authors, 2014. Used with permission.

Publication date: June 30, 2014

Published in: journal

ISSN: 1942-2660

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