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High-Performance In-Memory Genome Data Analysis - How In-Memory Database Technology Accelerates Personalized Medicine (Hardcover, 2014 ed.) Loot Price: R4,503
Discovery Miles 45 030
High-Performance In-Memory Genome Data Analysis - How In-Memory Database Technology Accelerates Personalized Medicine...

High-Performance In-Memory Genome Data Analysis - How In-Memory Database Technology Accelerates Personalized Medicine (Hardcover, 2014 ed.)

Hasso Plattner, Matthieu-P. Schapranow

Series: In-Memory Data Management Research

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Loot Price R4,503 Discovery Miles 45 030 | Repayment Terms: R422 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: In-Memory Data Management Research
Release date: November 2013
First published: 2014
Editors: Hasso Plattner • Matthieu-P. Schapranow
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Hardcover
Pages: 223
Edition: 2014 ed.
ISBN-13: 978-3-319-03034-0
Categories: Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN: 3-319-03034-5
Barcode: 9783319030340

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