Coverart for item
The Resource High-performance in-memory genome data analysis : how in-memory database technology accelerates personalized medicine, Hasso Plattner, Matthieu-P. Schapranow, editors

High-performance in-memory genome data analysis : how in-memory database technology accelerates personalized medicine, Hasso Plattner, Matthieu-P. Schapranow, editors

Label
High-performance in-memory genome data analysis : how in-memory database technology accelerates personalized medicine
Title
High-performance in-memory genome data analysis
Title remainder
how in-memory database technology accelerates personalized medicine
Statement of responsibility
Hasso Plattner, Matthieu-P. Schapranow, editors
Contributor
Editor
Subject
Language
eng
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
Member of
Cataloging source
GW5XE
Dewey number
570.285
Illustrations
illustrations
Index
index present
Language note
English
LC call number
QH324.2
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1944-
http://library.link/vocab/relatedWorkOrContributorName
  • Plattner, Hasso
  • Schapranow, Matthieu-P.
Series statement
In-Memory Data Management Research,
http://library.link/vocab/subjectName
  • Bioinformatics
  • Nucleotide sequence
  • Human gene mapping
  • Computing Methodologies
  • Precision Medicine
  • Sequence Analysis, DNA
  • NATURE
  • SCIENCE
  • SCIENCE
  • Science économique
  • Affaires
  • Bioinformatics
  • Human gene mapping
  • Nucleotide sequence
Label
High-performance in-memory genome data analysis : how in-memory database technology accelerates personalized medicine, Hasso Plattner, Matthieu-P. Schapranow, editors
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Franz Liedke
  • Billing Processes in Personalized Medicine
  • Joseph Bethge
  • Real-Time Data Analysis in Personalized Medicine
  • Real-time Analysis of Patient Cohorts
  • Ricarda Schüler
  • Ad-hoc Analysis of Genetic Pathways
  • Dominik Müller
  • Combined Search in Structured and Unstructured Medical Data
  • David Heller
  • Innovations for Personalized Medicine
  • Real-time Collaboration in the Course of Personalized Medicine
  • Hasso Plattner, Matthieu-P. Schapranow
  • Hasso Plattner, Matthieu-P. Schapranow and Franziska Häger
  • Data Processing in Personalized Medicine
  • Modeling Genome Data Processing Pipelines
  • Marie Schäffer
  • Scheduling and Execution of Genome Data Processing Pipelines
  • Cornelius Bock
  • Exchanging Medical Knowledge
  • 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
Control code
868901136
Dimensions
unknown
Extent
1 online resource (xxi, 223 pages)
File format
unknown
Form of item
online
Isbn
9783319030357
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-03035-7
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)868901136
Label
High-performance in-memory genome data analysis : how in-memory database technology accelerates personalized medicine, Hasso Plattner, Matthieu-P. Schapranow, editors
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Franz Liedke
  • Billing Processes in Personalized Medicine
  • Joseph Bethge
  • Real-Time Data Analysis in Personalized Medicine
  • Real-time Analysis of Patient Cohorts
  • Ricarda Schüler
  • Ad-hoc Analysis of Genetic Pathways
  • Dominik Müller
  • Combined Search in Structured and Unstructured Medical Data
  • David Heller
  • Innovations for Personalized Medicine
  • Real-time Collaboration in the Course of Personalized Medicine
  • Hasso Plattner, Matthieu-P. Schapranow
  • Hasso Plattner, Matthieu-P. Schapranow and Franziska Häger
  • Data Processing in Personalized Medicine
  • Modeling Genome Data Processing Pipelines
  • Marie Schäffer
  • Scheduling and Execution of Genome Data Processing Pipelines
  • Cornelius Bock
  • Exchanging Medical Knowledge
  • 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
Control code
868901136
Dimensions
unknown
Extent
1 online resource (xxi, 223 pages)
File format
unknown
Form of item
online
Isbn
9783319030357
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-03035-7
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)868901136

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      38.944491 -92.326012
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