Ontologies for Bioinformatics

Ontologies for Bioinformatics

The past twenty years have witnessed an explosion of biological data in diverse database formats governed by heterogeneous infrastructures. Not only are semantics (attribute terms) different in meaning across databases, but their organization varies widely. Ontologies are a concept imported from computing science to describe different conceptual frameworks that guide the collection, organizatio...

Ontologies for molecular biology and bioinformatics

About five years ago, ontology was almost unknown in bioinformatics, even more so in molecular biology. Nowadays, many bioinformatics articles mention it in connection with text mining, data integration or as a metaphysical cure for problems in standardisation of nomenclature and other applications. This article attempts to give an account of what concept ontologies in the domain of biology and...

Chemical Vocabularies and Ontologies for Bioinformatics

The diversity of objects and concepts in biological chemistry can be reflected in the number of ways used to describe an ‘elementary’ biochemical event such as enzymatic reaction. The terminology used in publications or biological databases is often a mixture of terms borrowed from widely different or even contradictory classifications. The ever-growing knowledge cannot be processed meaningfull...

Application of Ontologies in Bioinformatics

Augmenting Bioinformatics Research with Biomedical Ontologies

The main objective of the reported study was to investigate how biomedical ontologies, logically structured representations of various aspects of the biomedical reality, can help researchers in analyzing experimental data. High-throughput technologies, such as platforms for microarray gene expression experiments (MAGE), yield increasingly large amounts of ‘massive’ data; successful analyses of ...