Projects in the Business Area Bioinformatics

Leveraging the Digital Single Market – Supporting European Experts Presence in International Standardisation Activities in ICT defines a pragmatic approach to reinforcing EU expert presence in international ICT standardisation. By setting up, managing & monitoring a continuous open call, will provide a streamlined process supporting the participation & contribution of EU specialists in SDOs & SSOs in the 5 essential building blocks of the Digital Single Market (DSM), viz.: cloud computing, 5G communications, IoT, cybersecurity & data technologies.

Modelling of Neurodegenerative Diseases


PHAGO – a new approach to help patients with Alzheimer's disease

It was only recently discovered that the innate immunoreceptor genes TREM2 and CD33/SGLEC3 play a role in Alzheimer's disease. However, the significance of the identified genes and of the cellular mechanism has not been sufficiently investigated. The PHAGO project is designed to close these knowledge gaps and develop new tools and test methods that work on these immune receptors and open the way to the development of drugs that inhibit the course of the disease. This will allow new therapies for Alzheimer's patients. The project is funded by the Innovative Medicine Initiative (IMI), a public-private partnership between the European Union and the Federation of Pharmaceutical Industries in Europe (EFPIA).
Project duration: 11/2016 - 10/2021


AETIONOMY – Understanding the molecular causes of Alzheimer's disease

The project AETIONOMY is one of the «flagship-projects» of the Innovative Medicine Initiative (IMI), a public private partnership of the European Union and the European Federation of Pharmaceutical Industries and Associations (EFPIA).
Project duration: 01/2014 - 12/2018



The European research initiative EPAD targets to improve the understanding of the early phases of Alzheimer's disease and to develop provisions which contribute to the prevention of Alzheimer.
Project duration: 01/2015 - 12/2019

Logo Neuroallianz


In the Neuroallianz Consortium various academic institutions and companies collaborate in strategic research partnerships that develop new therapeutic and diagnostic­ approaches of neurodegenerative diseases. SCAI contributes a collaborative information technology platform to support data exchange, intelligent data analysis, and disease-centric knowledge discovery for the partners.
Project duration: 06/2013 - 05/2018

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HBP - The Human Brain Project

In the "Human Brain Project" (HBP), which is funded by the European Commission, leading research institutions work together to better understand the human brain. For that purpose the project partners will develop new simulation methods, for example on high performance computers. The project aims to develop new therapeutic approaches for the treatment of brain diseases and new methods of High Performance Computing.
Project duration: 10/2013 - 06/2018

Information and Knowledge Extraction in the Life Sciences



In the project IDSN (Integrative data semantics for neurodegenerative research) Fraunhofer SCAI, the Deutsche Zentrum für neurodegenerative Erkrankungen (DZNE) and the Universitätsklinikum Bonn (UKB) cooperate to improve the early recognition of dementia diseases. For that purpose they analyze clinical data and research data in an overall view.
Project duration: 03/2016 - 02/2019

Services for SMEs using HPC Clouds for simulations

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Fortissimo and Fortissimo 2

Fortissimo and Fortissimo 2 are collaborative projects that enable European SMEs to be more competitive globally through the use of simulation services running on a High Performance Computing cloud infrastructure. SCAI contributes to Fortissimo 2 with its expertise in two technology domains:

  • advanced data analytics for big amounts of numerical simulation data and
  • flexible licensing mechanisms for pay-per-use models in clouds.

Project duration: 11/2015 - 10/2018

Giant Knowledge Graphs

A Knowledge Graph (sometimes also called a semantic network) is a systematic way to connect information and data to knowledge. It is thus a crucial concept on the way to generate knowledge and wisdom, to search within data, information and knowledge. As described above, the context is the most important topic to generate knowledge or even wisdom. Thus, connecting Knowledge Graphs with context is a key feature. In this project we want to establish a novel systematic approach to knowledge discovery using contexts in Knowledge Graphs. For this, we enrich the existing graph structures and build a context hypergraph.

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