Springer celebrates 175 years of publishing excellence! Join us >>

In-Memory Data Management Research

High-Performance In-Memory Genome Data Analysis

How In-Memory Database Technology Accelerates Personalized Medicine

Editors: Plattner, Hasso, Schapranow, Matthieu-P. (Eds.)

  • Presents concrete implementations for personalized medicine
  • Explains the application of in-memory data management in genome analysis
  • Provides latest academic research results in in-memory data management
see more benefits

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-319-03035-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $189.00
price for USA
  • ISBN 978-3-319-03034-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 13, 2016
  • ISBN 978-3-319-37947-0
  • Free shipping for individuals worldwide
About this book

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. 

About the authors

Prof. Dr. h.c. Hasso Plattner is the chair of the "Enterprise Platform and Integration Concepts" research group at the Hasso Plattner Institute (HPI), which focuses mainly on in-memory data management for enterprise architectures. He is author and co-author of over 50 scientific publications and has served conferences, such as ACM SIGMOD, as keynote speaker. He is author of "In-Memory Data Management" and currently serves as a visiting professor at the Stanford University Institute of Design. Hasso Plattner is also a co-founder of SAP AG, where he served as CEO until 2003 and has since been chairman of the supervisory board. SAP AG today is the leading vendor of enterprise software solutions. In his role as chief software advisor, he concentrates on defining the mid- and long-term technology strategy and direction of SAP. Dr. Matthieu-P. Schapranow is the principal investigator of life sciences at the chair of Prof. Plattner at Hasso Plattner Institute. He holds a PhD, MSc and BSc in Software Engineering. In this position, he is responsible for research efforts applying in-memory technology to scientific areas in life sciences. In addition, he is a valued member of the Berlin Cancer Society.

Table of contents (9 chapters)

  • Innovations for Personalized Medicine

    Plattner, Hasso (et al.)

    Pages 1-27

  • Modeling Genome Data Processing Pipelines

    Schäffer, Marie

    Pages 31-53

  • Scheduling and Execution of Genome Data Processing Pipelines

    Bock, Cornelius

    Pages 55-74

  • Exchanging Medical Knowledge

    Liedke, Franz

    Pages 75-100

  • Billing Processes in Personalized Medicine

    Bethge, Joseph

    Pages 101-123

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-319-03035-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $189.00
price for USA
  • ISBN 978-3-319-03034-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 13, 2016
  • ISBN 978-3-319-37947-0
  • Free shipping for individuals worldwide
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
High-Performance In-Memory Genome Data Analysis
Book Subtitle
How In-Memory Database Technology Accelerates Personalized Medicine
Editors
  • Hasso Plattner
  • Matthieu-P. Schapranow
Series Title
In-Memory Data Management Research
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-03035-7
DOI
10.1007/978-3-319-03035-7
Hardcover ISBN
978-3-319-03034-0
Softcover ISBN
978-3-319-37947-0
Series ISSN
2196-8055
Edition Number
1
Number of Pages
XXI, 223
Number of Illustrations and Tables
78 b/w illustrations
Topics