High-Performance In-Memory Genome Data Analysis
Springer International Publishing (Verlag)
978-3-319-03034-0 (ISBN)
Prof. Dr. h.c. Hasso Plattner is the chair of the "Enterprise Platform and Integration Concepts" research group at the Hasso Plattner Institute (HPI), which focuses mainly on in-memory data management for enterprise architectures. He is author and co-author of over 50 scientific publications and has served conferences, such as ACM SIGMOD, as keynote speaker. He is author of "In-Memory Data Management" and currently serves as a visiting professor at the Stanford University Institute of Design. Hasso Plattner is also a co-founder of SAP AG, where he served as CEO until 2003 and has since been chairman of the supervisory board. SAP AG today is the leading vendor of enterprise software solutions. In his role as chief software advisor, he concentrates on defining the mid- and long-term technology strategy and direction of SAP. Dr. Matthieu-P. Schapranow is the principal investigator of life sciences at the chair of Prof. Plattner at Hasso Plattner Institute. He holds a PhD, MSc and BSc in Software Engineering. In this position, he is responsible for research efforts applying in-memory technology to scientific areas in life sciences. In addition, he is a valued member of the Berlin Cancer Society.
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.
Erscheint lt. Verlag | 18.10.2013 |
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Reihe/Serie | In-Memory Data Management Research |
Zusatzinfo | XXI, 223 p. 78 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 537 g |
Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
Naturwissenschaften ► Biologie | |
Schlagworte | Data Exploration • data protection • Evidence-Based Therapy • genomics • Individualized Therapy • In-Memory Data Management • Modeling • Next-generation sequencing • Personalized medicine • privacy • real-time analysis |
ISBN-10 | 3-319-03034-5 / 3319030345 |
ISBN-13 | 978-3-319-03034-0 / 9783319030340 |
Zustand | Neuware |
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