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October 25, 2010BMC Bioinformatics56 citationsOpen Access

Formalization of taxon-based constraints to detect inconsistencies in annotation and ontology development

JDJennifer DeeganEuropean Bioinformatics InstituteEDEmily DimmerUniversity of Iowa Hospitals and ClinicsCMChris MungallLawrence Berkeley National Laboratory

Key Points

  • The aim is to formalize taxon-specific constraints in gene ontology to detect annotation inconsistencies.
  • Formalization of taxonomic constraints for Gene Ontology classes at various levels.
  • Development of an inference system to identify violations of these constraints.
  • Utilization of the inference system to rectify annotation errors and enhance ontology structure.
  • Detected and removed annotation errors using the formalized constraints and inference system.
  • Improved structure of the ontology through systematic checks for taxon-specific inconsistencies.
  • Progressive enhancement of data quality due to refined annotations and formalized constraints.

Abstract

BACKGROUND: The Gene Ontology project supports categorization of gene products according to their location of action, the molecular functions that they carry out, and the processes that they are involved in. Although the ontologies are intentionally developed to be taxon neutral, and to cover all species, there are inherent taxon specificities in some branches. For example, the process 'lactation' is specific to mammals and the location 'mitochondrion' is specific to eukaryotes. The lack of an explicit formalization of these constraints can lead to errors and inconsistencies in automated and manual annotation. RESULTS: We have formalized the taxonomic constraints implicit in some GO classes, and specified these at various levels in the ontology. We have also developed an inference system that can be used to check for violations of these constraints in annotations. Using the constraints in conjunction with the inference system, we have detected and removed errors in annotations and improved the structure of the ontology. CONCLUSIONS: Detection of inconsistencies in taxon-specificity enables gradual improvement of the ontologies, the annotations, and the formalized constraints. This is progressively improving the quality of our data. The full system is available for download, and new constraints or proposed changes to constraints can be submitted online at https: //sourceforge. net/tracker/? atid=605890&groupᵢd=36855.

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Cite This Study

Deegan et al. (2010) studied this question.

synapsesocial.com/papers/6a084f80113ba5b476de15abhttps://doi.org/10.1186/1471-2105-11-530
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