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Innovations for Personalized Medicine

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Book cover High-Performance In-Memory Genome Data Analysis

Part of the book series: In-Memory Data Management Research ((IMDM))

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Abstract

The Human Genome (HG) project, officially launched in 1990, involved thousands of worldwide research institutes and required more than a decade to sequence and decode the full HG [5]. Next-Generation Sequencing (NGS) devices enable processing of whole genome data within hours while reducing costs [2]. NGS is used to support personalized medicine, which aims at treating patients specifically based on individual dispositions, e.g. genetic or environmental factors [20].

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Author information

Authors and Affiliations

  1. Enterprise Platform and Integration Concepts, Hasso-Plattner-Institute, Potsdam, Germany

    Hasso Plattner

  2. Enterprise Platform and Integration Concepts Chair, Hasso Plattner Institute, Potsdam, Germany

    Matthieu-P. Schapranow

  3. Potsdam, Germany

    Franziska Häger

Authors
  1. Hasso Plattner
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  2. Matthieu-P. Schapranow
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  3. Franziska Häger
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Corresponding author

Correspondence to Hasso Plattner .

Editor information

Editors and Affiliations

  1. Enterprise Platform and Integration Concepts, Hasso-Plattner-Institute, Potsdam, Germany

    Hasso Plattner

  2. Enterprise Platform and Integration Concepts Chair, Hasso Plattner Institute, Potsdam, Germany

    Matthieu-P. Schapranow

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Plattner, H., Schapranow, MP., Häger, F. (2014). Innovations for Personalized Medicine. In: Plattner, H., Schapranow, MP. (eds) High-Performance In-Memory Genome Data Analysis. In-Memory Data Management Research. Springer, Cham. https://doi.org/10.1007/978-3-319-03035-7_1

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