High-performance in-memory genome data analysis [electronic resource] : how in-memory database technology accelerates personalized medicine / Hasso Plattner, Matthieu-P. Schapranow, editors.
Plattner, Hasso, editor of compilation.; Schapranow, Matthieu-P., editor of compilation.
2014
QH324.2
Available Online

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Title High-performance in-memory genome data analysis [electronic resource] : how in-memory database technology accelerates personalized medicine / Hasso Plattner, Matthieu-P. Schapranow, editors.
ISBN 9783319030357 electronic book
3319030353 electronic book
9783319030340
DOI https://doi.org/10.1007/978-3-319-03035-7
Published Cham : Springer, 2014.
Language English
Description 1 online resource (xxi, 223 pages) : illustrations.
Item Number 10.1007/978-3-319-03035-7 doi
Call Number QH324.2
Dewey Decimal Classification 570.285
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from PDF title page (SpringerLink, viewed November 25, 2013).
Added Author Plattner, Hasso, editor of compilation.
Schapranow, Matthieu-P., editor of compilation.
Series In-memory data management research, 2196-8055
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Record Appears in Online Resources > Ebooks
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Innovations for Personalized Medicine
Modeling Genome Data Processing Pipelines
Scheduling and Execution of Genome Data processing Pipelines
Exchanging Medical Knowledge
Billing Processes in Personalized Medicine
Real-time Analysis of Patient Cohorts
Ad-hoc Analysis of Genetic Pathways
Combined Search in Structured and Unstructured Medical Data
Real-time Collaboration in the Course of Personalized Medicine.

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