A number of specific web accessible databases are developed in order to shed light into biomolecular data, providing novel perspectives about particular scientific problems or presenting innovative data integration approaches. Ontologies constitute an important enhancement, since they allow a better representation of biological data, by providing a hierarchical structure to organise information, enabling more effective queries, statistical analysis and semantic web searching. Here we present our experience in exploiting ontologies to enrich biomolecular databases in diverse biomolecular contexts. The semantic layer improves data organisation, accessibility and analysis and represents an invaluable support to identify relations among biological components. Copyright © 2011 Inderscience Enterprises Ltd.
Ontology-based resources for bioinformatics analysis
Viti Federica;Merelli Ivan;Cozzi Paolo;Mosca Ettore;Alfieri Roberta;Milanesi Luciano
2011
Abstract
A number of specific web accessible databases are developed in order to shed light into biomolecular data, providing novel perspectives about particular scientific problems or presenting innovative data integration approaches. Ontologies constitute an important enhancement, since they allow a better representation of biological data, by providing a hierarchical structure to organise information, enabling more effective queries, statistical analysis and semantic web searching. Here we present our experience in exploiting ontologies to enrich biomolecular databases in diverse biomolecular contexts. The semantic layer improves data organisation, accessibility and analysis and represents an invaluable support to identify relations among biological components. Copyright © 2011 Inderscience Enterprises Ltd.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
