INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9783319030340
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-58774
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
High-performance in-memory genome data analysis
General Material Designation
[Book]
Other Title Information
:how in-memory database technology accelerates personalized medicine
First Statement of Responsibility
/ Hasso Plattner, Matthieu-P. Schapranow, editors
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham
Name of Publisher, Distributor, etc.
: Springer,
Date of Publication, Distribution, etc.
, 2014.
SERIES
Series Title
(In-memory data management research)
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index..
CONTENTS NOTE
Text of Note
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.
Text of Note
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.
SERIES
Title
In-memory data management research
TOPICAL NAME USED AS SUBJECT
Bioinformatics
Nucleotide sequence
Human gene mapping, Data processing
Life Sciences
Computer Appl. in Life Sciences
Computational Biology/Bioinformatics
Business Information Systems
Statistics and Computing/Statistics Programs
Genetics and Population Dynamics
Health Informatics
NATURE / Reference, bisacsh
SCIENCE / Life Sciences / Biology, bisacsh
SCIENCE / Life Sciences / General, bisacsh
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - SECONDARY RESPONSIBILITY
Plattner, Hasso
Schapranow, Matthieu-P
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9783319030340.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9783319030340.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
