One of the goals of the VPH NoE is to develop and promote standards for describing data and models that result from the research on biomedical modelling and simulation of the human body. One important sub-theme of standards is ontologies, which are being used to annotate data and models with controlled vocabularies, enabling the automatic integration and analysis of these resources. The utility of these ontological annotations to interlink and interpret biomedical information is widely recognized.
SABO (Semantic Similarity across Biomedical Ontologies) aims at developing semantic similarity measures for relevant anatomic ontologies, such as FMA, HPO, ChEBI, which will enable the quantitative comparison between VPH models annotated with ontological terms.
LASIGE is a General Member of the Virtual Physiological Human Network of Excelence.
- Francisco Couto (research advisor)
- João D Ferreira
- Bernard de Bono, EBI, UK
- Peter Robinson, CHARITE, Germany
- Period: 01-Feb-2011 to 31-Jan-2015
- SFRH/BD/69345/2010, Doctoral research scholarship for João D Ferreira
Here are the data sources used to validate Chym, presented in the paper published under doi:10.1371/journal.pcbi.1000937, available as additional supplemental material:
João D. Ferreira, Francisco Couto 2010: Semantic Similarity for Automatic Classification of Chemical Compounds. PLoS Computational Biology 9(6), e1000937.