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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
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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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