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008 160915s2014 gw | s |||| 0|eng d
020 _a9783319030357
_9978-3-319-03035-7
024 7 _a10.1007/978-3-319-03035-7
_2doi
035 _ato000542402
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQH324.2-324.25
072 7 _aPS
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aSCI086000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a570.285
_223
245 1 0 _aHigh-Performance In-Memory Genome Data Analysis
_helectronic resource
_bHow In-Memory Database Technology Accelerates Personalized Medicine /
_cedited by Hasso Plattner, Matthieu-P. Schapranow.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXXI, 223 p. 78 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aIn-Memory Data Management Research,
_x2196-8055
505 0 _a1. 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 _a 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 _aLife Sciences.
_9295653
650 0 _aMedical records
_xData processing.
_9304692
650 0 _aBioinformatics.
_9303853
650 0 _aBiology
_xData processing.
_9305000
650 0 _aGenetics
_xMathematics.
_9304135
650 0 _aMathematical statistics.
_9566264
650 0 _aManagement information systems.
_9299049
650 1 4 _aLife Sciences.
_9295653
650 2 4 _aComputer Appl. in Life Sciences.
_9305001
650 2 4 _aComputational Biology/Bioinformatics.
_9306755
650 2 4 _aBusiness Information Systems.
_9299050
650 2 4 _aStatistics and Computing/Statistics Programs.
_9303277
650 2 4 _aGenetics and Population Dynamics.
_9304137
650 2 4 _aHealth Informatics.
_9303043
700 1 _aPlattner, Hasso.
_eeditor.
_9447764
700 1 _aSchapranow, Matthieu-P.
_eeditor.
_9448365
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aIn-Memory Data Management Research,
_9447663
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-03035-7
912 _aZDB-2-SBE
999 _c400115