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_a9783319030357 _9978-3-319-03035-7 |
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_a10.1007/978-3-319-03035-7 _2doi |
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_aSpringer _cSpringer _dRU-ToGU |
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_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 |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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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 |
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650 | 0 |
_aMedical records _xData processing. _9304692 |
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650 | 0 |
_aBioinformatics. _9303853 |
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_aBiology _xData processing. _9305000 |
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650 | 0 |
_aGenetics _xMathematics. _9304135 |
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650 | 0 |
_aMathematical statistics. _9566264 |
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650 | 0 |
_aManagement information systems. _9299049 |
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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 |
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_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 |
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700 | 1 |
_aSchapranow, Matthieu-P. _eeditor. _9448365 |
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710 | 2 |
_aSpringerLink (Online service) _9143950 |
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773 | 0 | _tSpringer eBooks | |
830 | 0 |
_aIn-Memory Data Management Research, _9447663 |
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856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-03035-7 |
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