Consistent Cross-Ontology Prediction of GO protein in Glycine max

SPETALE FLAVIO EZEQUIEL; MURILLO JAVIER; CACCHIARELLI, PAOLO; BULACIO PILAR; ANGELONE LAURA; TAPIA ELIZABETH

Viña del mar

Conferencia; V International Society for Computational Biology Latin America, SOIBIO and EMBnet Joint Bioinformatics Conference 2018; 2018

Gene Ontology (GO) is a structured repository of concepts (GO-terms) including three sub-ontologies, biological process (BP), molecular function (MF), and cellular component (CC). Although gene products should be ideally annotated in the three sub-ontologies, in-silico annotation methods usually cover individual sub-ontologies. Regarding cross-ontology annotations, methods based on cross-ontology association rules and interaction networks can be mentioned. However, the applicability of these methods is limited, since association rules can only be used with GO transitive relationships and interaction networks needhuge amounts of curated data - only available for model organisms.In this contribution, we present a method for automatic cross-ontology GO annotation, with no restriction on ontology relationships and no requirement of interaction data.