Literature DB >> 20152934

Cross-product extensions of the Gene Ontology.

Christopher J Mungall1, Michael Bada, Tanya Z Berardini, Jennifer Deegan, Amelia Ireland, Midori A Harris, David P Hill, Jane Lomax.   

Abstract

The Gene Ontology (GO) consists of nearly 30,000 classes for describing the activities and locations of gene products. Manual maintenance of ontology of this size is a considerable effort, and errors and inconsistencies inevitably arise. Reasoners can be used to assist with ontology development, automatically placing classes in a subsumption hierarchy based on their properties. However, the historic lack of computable definitions within the GO has prevented the user of these tools. In this paper, we present preliminary results of an ongoing effort to normalize the GO by explicitly stating the definitions of compositional classes in a form that can be used by reasoners. These definitions are partitioned into mutually exclusive cross-product sets, many of which reference other OBO Foundry candidate ontologies for chemical entities, proteins, biological qualities and anatomical entities. Using these logical definitions we are gradually beginning to automate many aspects of ontology development, detecting errors and filling in missing relationships. These definitions also enhance the GO by weaving it into the fabric of a wider collection of interoperating ontologies, increasing opportunities for data integration and enhancing genomic analyses. Published by Elsevier Inc.

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Year:  2010        PMID: 20152934      PMCID: PMC2910209          DOI: 10.1016/j.jbi.2010.02.002

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


  17 in total

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2.  OBO-Edit--an ontology editor for biologists.

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3.  Evolution of the Sequence Ontology terms and relationships.

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6.  An ontology for cell types.

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Journal:  Genome Biol       Date:  2005-01-14       Impact factor: 13.583

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9.  Integrating phenotype ontologies across multiple species.

Authors:  Christopher J Mungall; Georgios V Gkoutos; Cynthia L Smith; Melissa A Haendel; Suzanna E Lewis; Michael Ashburner
Journal:  Genome Biol       Date:  2010-01-08       Impact factor: 13.583

10.  ChEBI: a database and ontology for chemical entities of biological interest.

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  63 in total

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3.  Ontologies for clinical and translational research: Introduction.

Authors:  Barry Smith; Richard H Scheuermann
Journal:  J Biomed Inform       Date:  2011-01-15       Impact factor: 6.317

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6.  Semantic characterization of adverse outcome pathways.

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7.  Towards an ontological theory of substance intolerance and hypersensitivity.

Authors:  William R Hogan
Journal:  J Biomed Inform       Date:  2010-02-10       Impact factor: 6.317

8.  Hematopoietic cell types: prototype for a revised cell ontology.

Authors:  Alexander D Diehl; Alison Deckhut Augustine; Judith A Blake; Lindsay G Cowell; Elizabeth S Gold; Timothy A Gondré-Lewis; Anna Maria Masci; Terrence F Meehan; Penelope A Morel; Anastasia Nijnik; Bjoern Peters; Bali Pulendran; Richard H Scheuermann; Q Alison Yao; Martin S Zand; Christopher J Mungall
Journal:  J Biomed Inform       Date:  2010-02-01       Impact factor: 6.317

9.  Semantic similarity and machine learning with ontologies.

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Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

10.  Structure-based classification and ontology in chemistry.

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Journal:  J Cheminform       Date:  2012-04-05       Impact factor: 5.514

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