Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: In-Memory Data Management Research (IMDM)
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Table of contents (9 chapters)
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Data Processing in Personalized Medicine
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Real-Time Data Analysis in Personalized Medicine
Keywords
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.Â
Editors and Affiliations
About the editors
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
DOI: https://doi.org/10.1007/978-3-319-03035-7
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-03034-0Published: 18 October 2013
Softcover ISBN: 978-3-319-37947-0Published: 27 August 2016
eBook ISBN: 978-3-319-03035-7Published: 19 November 2013
Series ISSN: 2196-8055
Series E-ISSN: 2196-8063
Edition Number: 1
Number of Pages: XXI, 223
Number of Illustrations: 78 b/w illustrations
Topics: Computer Appl. in Life Sciences, Computational Biology/Bioinformatics, IT in Business, Statistics and Computing/Statistics Programs, Genetics and Population Dynamics, Health Informatics