Biomedical Engineering Reference
In-Depth Information
We think OralCard will be a fundamental resource to clarify human oral biology
and to establish protein biomarkers for salivary diagnostic processes based on the
analysis of saliva samples both in health and in disease, exploring the Oralome func-
tionalities. With OralCard, clinical samples from patients' saliva may be better ana-
lysed, contributing to improved diagnostic methods and to the development of more
effective therapies.
3
Methods
This solution for biomedical data integration is based upon two major components,
Oralome and OralCard, illustrated in Fig. 1.
Oralome, our backend pipeline, comprises four functional phases: data curation,
modelling, information extraction and publication.
For the OralCard portal frontend, we have selected two iterations: establishment of
a relationship between the previously created database and the enterprise tier, and the
design of views for the entities using web application frameworks.
3.1
Compilation and Curation of the Saliva Proteome
Regarding specific domains, such as the oral cavity, manual data curation is the key
iteration where system restrictions are imposed. These are essential to correctly focus
the system and to establish a common platform for further iterations. Here three main
activities are performed: bibliography review, target identification and requirements
analysis. Reviewing the bibliography consists of analysing state-of-the-art work and
deciding where the final system's uniqueness will be. Next, the target identification
process involves exploring both relevant bibliography and databases, and filtering
which data and/or features should be available in the final system. Once data and
features are selected, a careful requirements analysis process must be conducted. This
implies getting a first idea of the technological requirements related to the desired
features and integrated data.
Fig. 1. Pipeline for biomedical data integration
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