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High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine (In-Memory Data Management Research) - Tapa blanda
Sinopsis
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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Acerca del autor
Prof. Dr. h.c. Hasso Plattner is the chair of the "Enterprise Platform and Integration Concepts" research group at the Hasso Plattner Institute (HPI), which focuses mainly on in-memory data management for enterprise architectures. He is author and co-author of over 50 scientific publications and has served conferences, such as ACM SIGMOD, as keynote speaker. He is author of "In-Memory Data Management" and currently serves as a visiting professor at the Stanford University Institute of Design. Hasso Plattner is also a co-founder of SAP AG, where he served as CEO until 2003 and has since been chairman of the supervisory board. SAP AG today is the leading vendor of enterprise software solutions. In his role as chief software advisor, he concentrates on defining the mid- and long-term technology strategy and direction of SAP. Dr. Matthieu-P. Schapranow is the principal investigator of life sciences at the chair of Prof. Plattner at Hasso Plattner Institute. He holds a PhD, MSc and BSc in Software Engineering. In this position, he is responsible for research efforts applying in-memory technology to scientific areas in life sciences. In addition, he is a valued member of the Berlin Cancer Society.
De la contraportada
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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- EditorialSpringer
- Año de publicación2016
- ISBN 10 331937947X
- ISBN 13 9783319379470
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas248
- EditorPlattner Hasso, Schapranow Matthieu-P.
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High-Performance In-Memory Genome Data Analysis
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Springer International Publishing, 2016
ISBN 10: 331937947X
ISBN 13: 9783319379470
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents concrete implementations for personalized medicineExplains the application of in-memory data management in genome analysisProvides latest academic research results in in-memory data managementProf. Dr. h.c. Hasso Plattner i. Nº de ref. del artículo: 385704334
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High-Performance In-Memory Genome Data Analysis
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Springer International Publishing Aug 2016, 2016
ISBN 10: 331937947X
ISBN 13: 9783319379470
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 248 pp. Englisch. Nº de ref. del artículo: 9783319379470
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High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine (In-Memory Data Management Research)
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High-Performance In-Memory Genome Data Analysis : How In-Memory Database Technology Accelerates Personalized Medicine
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Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 331937947X
ISBN 13: 9783319379470
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783319379470
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High-Performance In-Memory Genome Data Analysis
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Springer International Publishing, Springer International Publishing Aug 2016, 2016
ISBN 10: 331937947X
ISBN 13: 9783319379470
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Taschenbuch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. Nº de ref. del artículo: 9783319379470
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High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine (In-Memory Data Management Research)
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