LEADER 05157nam  22008535  450 
001 9910298322703321
005 20200703161352.0
010   $a3-319-03035-3
024 7 $a10.1007/978-3-319-03035-7
035   $a(CKB)3710000000074661
035   $a(EBL)1592371
035   $a(OCoLC)868901136
035   $a(SSID)ssj0001066617
035   $a(PQKBManifestationID)11630030
035   $a(PQKBTitleCode)TC0001066617
035   $a(PQKBWorkID)11068395
035   $a(PQKB)11701317
035   $a(MiAaPQ)EBC1592371
035   $a(DE-He213)978-3-319-03035-7
035   $a(PPN)176107371
035   $a(EXLCZ)993710000000074661
100   $a20131118d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aHigh-Performance In-Memory Genome Data Analysis $eHow In-Memory Database Technology Accelerates Personalized Medicine /$fedited by Hasso Plattner, Matthieu-P. Schapranow
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (239 p.)
225 1 $aIn-Memory Data Management Research,$x2196-8055
300   $aDescription based upon print version of record.
311   $a3-319-03034-5 
320   $aIncludes bibliographical references and index.
327   $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.
330   $a Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.
410  0$aIn-Memory Data Management Research,$x2196-8055
606   $aBioinformatics 
606   $aComputational biology 
606   $aBioinformatics
606   $aInformation technology
606   $aBusiness?Data processing
606   $aStatistics 
606   $aBiomathematics
606   $aHealth informatics
606   $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004
606   $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050
606   $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
606   $aGenetics and Population Dynamics$3https://scigraph.springernature.com/ontologies/product-market-codes/M31010
606   $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009
615  0$aBioinformatics .
615  0$aComputational biology .
615  0$aBioinformatics.
615  0$aInformation technology.
615  0$aBusiness?Data processing.
615  0$aStatistics .
615  0$aBiomathematics.
615  0$aHealth informatics.
615 14$aComputer Appl. in Life Sciences.
615 24$aComputational Biology/Bioinformatics.
615 24$aIT in Business.
615 24$aStatistics and Computing/Statistics Programs.
615 24$aGenetics and Population Dynamics.
615 24$aHealth Informatics.
676   $a502.85
676   $a572.80285
702   $aPlattner$b Hasso$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSchapranow$b Matthieu-P$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910298322703321
996   $aHigh-Performance In-Memory Genome Data Analysis$92536195
997   $aUNINA