Gene Regulation Ontology (GRO): design principles and use cases.
The Gene Regulation Ontology (GRO) is designed as a novel approach to model complex events that are part of the gene regulatory processes. We introduce the design requirements for such a conceptual model and discuss terminological resources suitable to base its construction on. The ontology defines gene regulation events in terms of ontological classes and imposes constraints on them by specifying the participants involved. The logical structure of the ontology is intended to meet the needs of advanced information extraction and text mining systems which target the identification of event representations in scientific literature. The GRO has just been submitted to the OBO library and is currently under review. It is available at http://www.ebi.ac.uk/Rebholz-srv/GRO/GRO.html.
Beisswanger
Elena
E
Jena University Language and Information Engineering (JULIE) Lab, Jena, Germany. elena.beisswanger@uni-jena.de
Lee
Vivian
V
Kim
Jung-Jae
JJ
Rebholz-Schuhmann
Dietrich
D
Splendiani
Andrea
A
Dameron
Olivier
O
Schulz
Stefan
S
Hahn
Udo
U
D019295:Computational Biology; D030541:Databases, Genetic; D003661:Decision Support Techniques; D005786:Gene Expression Regulation; D006801:Humans; D016247:Information Storage and Retrieval; D008967:Molecular Biology; D009323:Natural Language Processing; D012984:Software; D014158:Transcription, Genetic; D018875:Vocabulary, Controlled