Conceptual modelling is essential to specify an information system. However, their application is not limited to domains related to Computer Science. Medicine, bioinformatics and more specifically, bioinformatics applied to Human Genomics, are some fields that can take advantage of all the benefits that conceptual modelling brings. Due to the increasing interest of the Human Genome in the scientific community, analysing which of those benefits really impact in the specification of a genomic information system is worth to explore. This research line focuses on translating the satisfactory and traditionally well-applied techniques of the model-driven software development (MDSD) into the Bioinformatics field and its applications in clinical environments. The main idea is to define models that facilitate the comprehension of the complex biological mechanisms associated to the Human Genome and its relation to specific diseases. These models will serve to descriptive purposes, but also as a guide to discover new therapeutic targets. The ultimate goal of this research line is to define new scientific strategies as well as new software tools that can be used in practice by researchers and clinicians that dedicate their research to the human genomics and diseases.
- Specification of medical and bioinformatics conceptual models and ontologies
- Software development for managing and analysing genomic and clinical information
- Analysis and optimization of Genomic Databases
- Analysis and specification of geneticists’ software requirements.
- Development of domain-specific languages for involving geneticists in the definition of genomic software tools.
- Quality analysis of genomic data formats and databases.