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Könyv High-Performance In-Memory Genome Data Analysis Hasso Plattner

High-Performance In-Memory Genome Data Analysis

How In-Memory Database Technology Accelerates Personalized Medicine

Szerző: Hasso Plattner, Matthieu-P. Schapranow
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
57 690 Ft
Recent achievements in hardware and software developments have enabled the introduction of a revolut...

Információk a könyvről

Szerző
Hasso Plattner, Matthieu-P. Schapranow
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2016
oldal
223
EAN
9783319379470
ISBN
331937947X
Enbook ID
13938019
Kiadó
Springer International Publishing AG
Súly
454
Méretek
155 x 235 x 13

Teljes leírás

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.

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