RICORDO
RICORDO started as a VPH-I project in Feb 2010. The RICORDO Consortium aims to engage the VPH community across the following key areas to:
Contact the RICORDO Coordinator:
Prof Bernard de Bono
(Project Coordinator)
email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Prof Bernard de Bono
(Project Coordinator)
email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
RICORDO Consortium
- European Molecular Biology Laboratory – European Bioinformatics Institute
- University of Auckland
- Universitat Pompeu Fabra
- University of Washington
- Medical Research Council
- Denmark Technical University
- University of Cambridge
- Heriot-Watt University
- Identify robust, well-maintained and relevant ontologies that can provide non-redundant reference terminology sets for the annotation of VPH data and model resources;
- Support the community with the targeted development of new ontologies, in co-ordination with the OBO Foundry;
- Establish a VPH-wide ontological ‘grammar’ to represent multiscale anatomy in combination with fundamental concepts from physics;
- Develop a metadata standard to embed ontology-based annotations into VPH data and models, and to prototype an implementation of this standard to share VPH metadata via appropriate webservices;
In particular, RICORDO will demonstrate the application of the above methods at both ends of the size scale, in the areas of:
- a. molecular biology: the proteome-wide prediction of the cellular localization of proteins will provide a consistent mapping of genomic data onto multiscale anatomy;
- b.anatomical imaging: the study of relevant volumetric data interoperability issues using three representative forms of such data in the VPH, namely cardiac: computational volumetric models, statistical volumetric models and 3D atlas frameworks.
The aim of this work is to help establish the above ontology-based interoperability standard across VPH data and models in direct support of model personalisation, via patient-specific molecular (e.g. SNP) and imaging (e.g. radiological) data.
VPH Projects