High-Performance In-Memory Genome Data Analysis (Record no. 2858)

      MARC details
      000 -LEADER
      fixed length control field 03909nam a22006015i 4500
      001 - CONTROL NUMBER
      control field 978-3-319-03035-7
      003 - CONTROL NUMBER IDENTIFIER
      control field DE-He213
      005 - DATE AND TIME OF LATEST TRANSACTION
      control field 20160405110545.0
      007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
      fixed length control field cr nn 008mamaa
      008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
      fixed length control field 131118s2014 gw | s |||| 0|eng d
      020 ## - INTERNATIONAL STANDARD BOOK NUMBER
      International Standard Book Number 9783319030357
      -- 978-3-319-03035-7
      024 7# - OTHER STANDARD IDENTIFIER
      Standard number or code 10.1007/978-3-319-03035-7
      Source of number or code doi
      050 #4 - LIBRARY OF CONGRESS CALL NUMBER
      Classification number QH324.2-324.25
      072 #7 - SUBJECT CATEGORY CODE
      Subject category code PS
      Source bicssc
      072 #7 - SUBJECT CATEGORY CODE
      Subject category code UB
      Source bicssc
      072 #7 - SUBJECT CATEGORY CODE
      Subject category code SCI086000
      Source bisacsh
      072 #7 - SUBJECT CATEGORY CODE
      Subject category code COM018000
      Source bisacsh
      082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
      Classification number 570.285
      Edition number 23
      245 10 - TITLE STATEMENT
      Title High-Performance In-Memory Genome Data Analysis
      Medium [electronic resource] :
      Remainder of title How In-Memory Database Technology Accelerates Personalized Medicine /
      Statement of responsibility, etc edited by Hasso Plattner, Matthieu-P. Schapranow.
      264 #1 -
      -- Cham :
      -- Springer International Publishing :
      -- Imprint: Springer,
      -- 2014.
      300 ## - PHYSICAL DESCRIPTION
      Extent XXI, 223 p. 78 illus.
      Other physical details online resource.
      336 ## -
      -- text
      -- txt
      -- rdacontent
      337 ## -
      -- computer
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      -- rdamedia
      338 ## -
      -- online resource
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      347 ## -
      -- text file
      -- PDF
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      490 1# - SERIES STATEMENT
      Series statement In-Memory Data Management Research,
      International Standard Serial Number 2196-8055
      505 0# - FORMATTED CONTENTS NOTE
      Formatted contents note 1. Innovations for Personalized Medicine -- 2. Modeling Genome Data Processing Pipelines -- 3. Scheduling and Execution of Genome Data processing Pipelines -- 4. Exchanging Medical Knowledge -- 5. Billing Processes in Personalized Medicine -- 6. Real-time Analysis of Patient Cohorts -- 7. Ad-hoc Analysis of Genetic Pathways -- 8. Combined Search in Structured and Unstructured Medical Data -- Real-time Collaboration in the Course of Personalized Medicine.
      520 ## - SUMMARY, ETC.
      Summary, etc  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.
      650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Life sciences.
      650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Information technology.
      650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Business
      General subdivision Data processing.
      650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Health informatics.
      650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Bioinformatics.
      650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Computational biology.
      650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Biomathematics.
      650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Statistics.
      650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Life Sciences.
      650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Computer Appl. in Life Sciences.
      650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Computational Biology/Bioinformatics.
      650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element IT in Business.
      650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Statistics and Computing/Statistics Programs.
      650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Genetics and Population Dynamics.
      650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
      Topical term or geographic name as entry element Health Informatics.
      700 1# - ADDED ENTRY--PERSONAL NAME
      Personal name Plattner, Hasso.
      Relator term editor.
      700 1# - ADDED ENTRY--PERSONAL NAME
      Personal name Schapranow, Matthieu-P.
      Relator term editor.
      710 2# - ADDED ENTRY--CORPORATE NAME
      Corporate name or jurisdiction name as entry element SpringerLink (Online service)
      773 0# - HOST ITEM ENTRY
      Title Springer eBooks
      776 08 - ADDITIONAL PHYSICAL FORM ENTRY
      Display text Printed edition:
      International Standard Book Number 9783319030340
      830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
      Uniform title In-Memory Data Management Research,
      -- 2196-8055
      856 40 - ELECTRONIC LOCATION AND ACCESS
      Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-319-03035-7">http://dx.doi.org/10.1007/978-3-319-03035-7</a>
      912 ## -
      -- ZDB-2-SBL
      Holdings
      Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Date last seen Uniform Resource Identifier Price effective from Koha item type Public note
              SARVAJNA LIBRARY, UHS, BAGALKOT SARVAJNA LIBRARY, UHS, BAGALKOT 25/10/2019 ICAR Grant 2015-16 2932704020   25/10/2019 http://dx.doi.org/10.1007/978-3-319-03035-7 25/10/2019 e-Books Click on the URL to access eBook
      External Imp. Links

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