Prof. Dr. h.c. mult. Hasso Plattner

High-performance In-memory Genome (HIG) Project

The continuous progress in understanding relevant genomic basics, e.g. for treatment of cancer patients, collides with the tremendous amount of data, that need to be processed. For example, the human genome consists of approx. 3.2 billion base pairs resp. 3.2 GB of data. Identifying a concrete sequence of 20 base pairs within the genome takes hours to days if performed manually. Processing and analyzing genomic data is a challenge for medical and biological research that delays progress of research projects. From a software engineering point of view, improving the analysis of genomic data is both a concrete research and engineering challenge. Combining knowledge of in-memory technology and of how to perform real-time analysis of huge amount of data with concrete research questions of medical and biological experts is the aim of the HIG project. The project was initiated in the spring 2012 in response to the overwhelming feedback about the first results of the HANA Oncolyzer project.

Press Feedback

  • "Big Data" aus Potsdam macht künftig schneller gesund (de)
  • Riesenmengen medizinischer Daten blitzschnell verknüpfen (de)
  • Weltgesundheitsgipfel: Big Data ist gesund (de)
  • Meine Pille, deine Pille (de)
  • Hasso Plattner’s lightning fast data base technology lends a hand to personalized medicine. (en)
  • Datenberge blitzschnell auswerten HPI-Technologie soll in der Krebsmedizin helfen (de)
  • World Health Summit: Hasso Plattner Institute Presents Instantaneous Genome Analysis (en)
  • Blitzschnelle Genom-Analysen bringen individuelle Krebstherapien voran / Hasso-Plattner-Institut präsentiert neue Technologie (de)