The explosion of the data both in the biomedical research and in the healthcare systems
demands urgent solutions. In particular, the research in omics sciences is moving from a …

Background Evolutionary trees are central to a wide range of biological studies. In many of
these studies, tree nodes and branches need to be associated (or annotated) with various …

Introduction to Bio-Ontologies explores the computational background of ontologies.
Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self …

Background More than in other domains the heterogeneous services world in bioinformatics
demands for a methodology to classify and relate resources in a both human and machine …

Highlights•The SESL prototype combines the scientific literature with biomedical data
resources.•All integration of resources is based on semantic web technology for public …

Background As the “omics” revolution unfolds, the growth in data quantity and diversity is
bringing about the need for pioneering bioinformatics software, capable of significantly …

The chapter shines a light on the strong links shared by Artificial intelligence and
Bioinformatics since many years. Bioinformatics offers many NP-hard problems that are …

The expansion of multi-omics datasets raises significant challenges for data integration and
querying. To overcome these challenges, we developed a generic RDF-based integration …

Bioinformatics is an interdisciplinary area strongly driven by the advancement of technology
and data generation. It applies concepts and methodologies derived from computer science …

The life sciences are both inherently complicated, because of the large number of different
elements involved, and complex, because of the strong interdependence of these elements …