Titlebook: High-Performance In-Memory Genome Data Analysis; How In-Memory Databa Hasso Plattner,Matthieu-P. Schapranow Book 2014 Springer Internationa

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igen sowohl die Gesamtzahl der angegebenen beruflichen Belastungen, als auch die der chronischen Erkrankungen. Bei den höheren Altersgruppen nimmt die Gesamtzahl der angegebenen Belastungen ab, die Anzahl der chronischen Erkrankungen steigt hingegen mit steigendem Alter weiter an. Der scheinbare Rüc

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Exchanging Medical Knowledgeand visualization. The huge size of the data sets combined with limited network capacity makes it very time-consuming to use cloud applications. In this contribution, I propose to transfer application logic to the data instead. This can be achieved by making the apps work independently from how and

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Real-time Analysis of Patient Cohorts work in the same way for everybody. Researchers assume that this might be due to certain variants in patients’ genes. Currently, researchers analyze large groups of patients with the statistical language R to investigate such cases further. But R is only a language and cannot store data, so that th

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Combined Search in Structured and Unstructured Medical Datastructured sources, e.g. genomic variant lists and electronic medical records, or unstructured sources, e.g. medical papers, research documentations and trial descriptions, are examined. However, structured data, such as a patient’s genomic data, can be valuable in searching unstructured data like c

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