High-Performance In-Memory Genome Data Analysis How In-Memory Database Technology Accelerates Personalized Medicine /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Plattner, Hasso (Επιμελητής έκδοσης), Schapranow, Matthieu-P (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: In-Memory Data Management Research,
• Θέματα: Life sciences.; Information technology.; Business > Data processing.; Health informatics.; Bioinformatics.; Computational biology.; Biomathematics.; Statistics.; Life Sciences.; Computer Appl. in Life Sciences.; Computational Biology/Bioinformatics.; IT in Business.; Statistics and Computing/Statistics Programs.; Genetics and Population Dynamics.; Health Informatics.

 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 b...

Πίνακας περιεχομένων:

• 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.