The Biomedical Informatics Group creates variety of software to map clinical and genetic concepts and develops new methods and tools for database integration based on biomedical ontologies, agents and Web services. This work has been accomplished using semantic web technologies like RDF, OWL, OWL2, RDQL, SPARQL, etc.
The GIB has developed a tool capable of automatically processing complex queries involving multiple databases and web medical genetics. For a biomedical researcher, this is manually long and tedious search. The investigation would involve recovering the OMIM code from a disease, then enter this code in the database “Entrez Gene” to retrieve all the genes involved, after that get the standard symbol for each of these genes in the “Human Gene Nomenclature” then obtain the associated proteins of these genes from “Swissprot“, to finally obtain the 3D structure of these proteins from various databases that provide this information. The implementation of our tool automatically generates particular queries to obtain search results for specific flows. This search process is encapsulated in a “Web Service” that is available online.
In 2001 the Biomedical Informatics Group launched INFOGENMED, the first project funded by the European Commission in the area of clinico-genomic data integration. We developed the “ONTOFUSION” system which provides unified access to multiple, heterogeneous biological and medical data sources from over 1500 public databases. We used the system to integrate variety of information resources such as: OMIM, PubMed, Enzyme, Proposite and Proposite documentation, PDB, SNP, InterPro, etc. Since then, ONTOFUSION has become one of the main references in the field.
InSite is a platform to enable the trustworthy re-use of Electronic Health Records (EHR) data for clinical research. InSite offers an integrated view of heterogeneous clinical data sources through easy to use applications. More...
INFOGENMED aims to build a virtual laboratory for accessing and integrate genetic and medical information for health applications. Resorting to this integrated environment, clinicians are able to access and relate diseases data. More...
The main objective of the project is the creation of centres of excellence to promote health research, education and practice in Africa. The creation of these centres will be based on four main pillars: e-learning, knowledge sharing, "know-how" and information technologies. More...
INBIOMED is a Thematic Network for Cooperative Research in Biomedical Informatics. Storage, integration, and medical, genetic, epidemologic and image oriented data analysis aimed at pathology research. More...