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
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
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
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:
Project duration: 11/2015 - 10/2018
Integrated Biomedical Informatics for the Management of Cerebral Aneurysms.
Bilateral Research and Industrial Development Enhancing and Integrating GRID Enabled Technologies.
chemoCR is a system for the reconstruction of chemical information from chemical structure depictions. This tool has been developed to make one of the largest sources of chemical information accessible: the information communicated through images containing chemical structure depictions. Although communication of chemical information through images is quite common amongst chemists, the information contained in images could not be used by machines. chemoCR solves this problem by reconstructing chemical information from images.
Within the cloud4health project, SCAI focuses on a secure platform for text mining workflows that can easily and efficiently be deployed in private and public cloud infrastructures. SCAI designs and implements processes and workflows for text mining on clinical data, providing the resulting text mining platform to users from participating clinics. The platform will be made available to external users after the end of the project. This includes setting up and providing the initial cloud IaaS infrastructure for the text mining platform to be developed. Furthermore, SCAI implements the mechanisms to protect the data from unauthorised access, provides the mechanisms for authentication and authorization for accessing data.
Network of Excellence.
The Helmholtz Network for Bioinformatics is a user-friendly web interface for integrating complex bioinformatics tasks. It is a joint venture of leading German bioinformatics research groups and offers convenient access to numerous bioinformatics resources through a single web portal.
Intelligent Application - oriented Scheduling for HPC Grids with IANOS.
Interoperability and Integration of VO-Management Technologies in D-Grid.
Analysis of huge collections of experimental data.
Project D10 aims to identify biological markers that can be used to expedite drug development and improve therapeutic intervention in Epilepsy (EP), Parkinson's Disease (PD) and Alzheimer's Disease (AD). The project is a collaboration between UCB Pharma GmBH and the Fraunhofer Institute for Algorithms and Scientific Computing (Fraunhofer SCAI) and pursues principally a computational strategy for biomarker discovery.
Grid computing is one of the essential emerging technologies in the information technology community.
To reduce the barriers to drug discovery in industry, academia and for small businesses, the Open PHACTS consortium has built an Open Pharmacological Space (OPS). This is a freely available platform, integrating pharmacological data from a variety of information resources and providing tools and services to question this integrated data to support pharmacological research.
SmartLM will provide a generic and flexible licensing virtualization technology for new service-oriented business models across organization boundaries.
The SIMDAT project aims at developing generic grid technology for the solution of complex application problems and using this new technology in several industrial application sectors.
THESEUS is a research program initiated by the Federal Ministry of Economy and Technology (BMWi), with the goal of developing a new Internet-based infrastructure in order to better use and utilize the knowledge available on the Internet.
The ToPNet program enables biological experts to interactively interpret expression data in the context of biological networks of various kinds (e.g. metabolic, regulatory or text-mining networks).
TUAM is a tool for universal mapping of indexable data sets onto each other.
The Open PHACTS project aims to deliver a single view across available pharmacological information sources.
The explosion of unstructured data available for research and development is a general phenomenon, but it has already become a performance defining factor in the medical and biotechnology / pharmaceutical areas: without ICT-based support tools for automated mining of document data bases, determination and retrieval of strategically important scientific and business information is either untenable or becomes a significant drain on manpower resources. The situation in pharmaceutical and bio-chemistry sectors is made more extreme by the reliance on multimodal information in publications and documents as chemical structures are not just represented in text form but also as structure diagrams.
Vertically Integrated Optical Testbed for Large Applications im Deutschen Forschungsnetz.
Management of Virtual Organisations in D-Grid.
Grid computing is currently developing into a major driving force for new approaches towards collaborative large scale science. Several national and international eScience programs have fostered collaboration between researchers from different scientific domains and the first large scale experiments on grids infrastructures such as EGEE are underway.