Literature DB >> 17921072

Taxonomy-based partitioning of the Gene Ontology.

Wacław Kuśnierczyk1.   

Abstract

The Gene Ontology (GO) project is a collaborative effort to construct ontologies which facilitate biologically meaningful annotation of gene products. In some situations, only a generic or a species-specific subset of all GO terms is required to annotate and analyze the results of a particular biomedical experiment. We show that by defining explicit links between terms in the GO and terms in the Taxonomy of Species (TS) it is possible to automatically create partitions of the GO according to various taxonomic criteria. Our framework is based on three logically defined relations--validity, specificity, and relevance--used to link terms in the Gene Ontology with terms in the Taxonomy. The major advantages of this approach, as compared to the traditional GO slims methodology, are: unambiguous semantics of GO-TS annotations, significant reduction of the effort needed to manually select GO terms appropriate for a particular taxonomic context, ability to generate views of the GO even for taxa for which no explicit links with GO terms exist, logical consistency of such views, and automated updates of TS-dependent GO subsets. Incorporation of the proposed framework into the GO may improve the usability of the ontology for those scientists who focus their research on a particular species or a specific class of organisms.

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Year:  2007        PMID: 17921072     DOI: 10.1016/j.jbi.2007.07.007

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  5 in total

1.  Survey of modular ontology techniques and their applications in the biomedical domain.

Authors:  Jyotishman Pathak; Thomas M Johnson; Christopher G Chute
Journal:  Integr Comput Aided Eng       Date:  2009-08       Impact factor: 4.827

2.  Automatic, context-specific generation of Gene Ontology slims.

Authors:  Melissa J Davis; Muhammad Shoaib B Sehgal; Mark A Ragan
Journal:  BMC Bioinformatics       Date:  2010-10-07       Impact factor: 3.169

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

Authors:  Jennifer I Deegan née Clark; Emily C Dimmer; Christopher J Mungall
Journal:  BMC Bioinformatics       Date:  2010-10-25       Impact factor: 3.169

4.  Eliciting the Functional Taxonomy from protein annotations and taxa.

Authors:  Marco Falda; Enrico Lavezzo; Paolo Fontana; Luca Bianco; Michele Berselli; Elide Formentin; Stefano Toppo
Journal:  Sci Rep       Date:  2016-08-18       Impact factor: 4.379

5.  The Gene Ontology (GO) Cellular Component Ontology: integration with SAO (Subcellular Anatomy Ontology) and other recent developments.

Authors:  Paola Roncaglia; Maryann E Martone; David P Hill; Tanya Z Berardini; Rebecca E Foulger; Fahim T Imam; Harold Drabkin; Christopher J Mungall; Jane Lomax
Journal:  J Biomed Semantics       Date:  2013-10-07
  5 in total

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