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Updated: Aug 4, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
Published on: June 17, 2012
Automatic extension of Gene Ontology with flexible identification of candidate terms
Jin-Bok Lee1, Jung-jae Kim, Jong C Park
1Computer Science Division and AITrc, KAIST 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea.
Motivation:
Gene Ontology (GO) has been manually developed to provide a controlled vocabulary for gene product attributes. It continues to evolve with new concepts that are compiled mostly from existing concepts in a compositional way. If we consider the relatively slow growth rate of GO in the face of the fast accumulation of the biological data, it is much desirable to provide an automatic means for predicting new concepts from the existing ones.
Results:
We present a novel method that predicts more detailed concepts by utilizing syntactic relations among the existing concepts. We propose a validation measure for the automatically predicted concepts by matching the concepts to biomedical articles. We also suggest how to find a suitable direction for the extension of a constantly growing ontology such as GO.
Availability:
http://autogo.biopathway.org
Supplementary Information:
Supplementary materials are available at Bioinformatics online.
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