High-Performance In-Memory Genome Data Analysis

How In-Memory Database Technology Accelerates Personalized Medicine

  • Hasso Plattner
  • Matthieu-P. Schapranow
Part of the In-Memory Data Management Research book series (IMDM)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Hasso Plattner, Matthieu-P. Schapranow, Franziska Häger
    Pages 1-27
  3. Data Processing in Personalized Medicine

    1. Front Matter
      Pages 29-30
    2. Marie Schäffer
      Pages 31-53
    3. Franz Liedke
      Pages 75-100
    4. Joseph Bethge
      Pages 101-123
  4. Real-Time Data Analysis in Personalized Medicine

    1. Front Matter
      Pages 125-126
    2. Ricarda Schüler
      Pages 127-152
    3. Dominik Müller
      Pages 153-180
    4. Hasso Plattner, Matthieu-P. Schapranow
      Pages 207-216
  5. Back Matter
    Pages 217-223

About this book

Introduction

 Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.

Keywords

Data Exploration Data Protection Evidence-Based Therapy Genomics In-Memory Data Management Individualized Therapy Modeling Next-Generation Sequencing Personalized Medicine Privacy Real-Time Analysis

Editors and affiliations

  • Hasso Plattner
    • 1
  • Matthieu-P. Schapranow
    • 2
  1. 1.Enterprise Platform and Integration ConceptsHasso-Plattner-InstitutePotsdamGermany
  2. 2.Enterprise Platform and Integration Concepts ChairHasso Plattner InstitutePotsdamGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-03035-7
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-319-03034-0
  • Online ISBN 978-3-319-03035-7
  • Series Print ISSN 2196-8055
  • Series Online ISSN 2196-8063
  • About this book