Literature DB >> 12466303

Extension and integration of the gene ontology (GO): combining GO vocabularies with external vocabularies.

David P Hill1, Judith A Blake, Joel E Richardson, Martin Ringwald.   

Abstract

Structured vocabulary development enhances the management of information in biological databases. As information grows, handling the complexity of vocabularies becomes difficult. Defined methods are needed to manipulate, expand and integrate complex vocabularies. The Gene Ontology (GO) project provides the scientific community with a set of structured vocabularies to describe domains of molecular biology. The vocabularies are used for annotation of gene products and for computational annotation of sequence data sets. The vocabularies focus on three concepts universal to living systems, biological process, molecular function and cellular component. As the vocabularies expand to incorporate terms needed by diverse annotation communities, species-specific terms become problematic. In particular, the use of species-specific anatomical concepts remains unresolved. We present a method for expansion of GO into areas outside of the three original universal concept domains. We combine concepts from two orthogonal vocabularies to generate a larger, more specific vocabulary. The example of mammalian heart development is presented because it addresses two issues that challenge GO; inclusion of organism-specific anatomical terms, and proliferation of terms and relationships. The combination of concepts from orthogonal vocabularies provides a robust representation of relevant terms and an opportunity for evaluation of hypothetical concepts.

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Year:  2002        PMID: 12466303      PMCID: PMC187579          DOI: 10.1101/gr.580102

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  22 in total

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2.  Creating the gene ontology resource: design and implementation.

Authors: 
Journal:  Genome Res       Date:  2001-08       Impact factor: 9.043

3.  Homeobox genes and heart development.

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Journal:  Mech Dev       Date:  2000-02       Impact factor: 1.882

5.  FOG-2, a cofactor for GATA transcription factors, is essential for heart morphogenesis and development of coronary vessels from epicardium.

Authors:  S G Tevosian; A E Deconinck; M Tanaka; M Schinke; S H Litovsky; S Izumo; Y Fujiwara; S H Orkin
Journal:  Cell       Date:  2000-06-23       Impact factor: 41.582

6.  Peripheral nervous system defects in erbB2 mutants following genetic rescue of heart development.

Authors:  M T Woldeyesus; S Britsch; D Riethmacher; L Xu; E Sonnenberg-Riethmacher; F Abou-Rebyeh; R Harvey; P Caroni; C Birchmeier
Journal:  Genes Dev       Date:  1999-10-01       Impact factor: 11.361

7.  Expression of the Mf1 gene in developing mouse hearts: implication in the development of human congenital heart defects.

Authors:  R E Swiderski; R S Reiter; D Y Nishimura; W L Alward; J W Kalenak; C S Searby; E M Stone; V C Sheffield; J J Lin
Journal:  Dev Dyn       Date:  1999-09       Impact factor: 3.780

8.  The Mouse Gene Expression Database (GXD).

Authors:  M Ringwald; J T Eppig; D A Begley; J P Corradi; I J McCright; T F Hayamizu; D P Hill; J A Kadin; J E Richardson
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

9.  Alteration in connexin 43 gap junction gene dosage impairs conotruncal heart development.

Authors:  G Y Huang; A Wessels; B R Smith; K K Linask; J L Ewart; C W Lo
Journal:  Dev Biol       Date:  1998-06-01       Impact factor: 3.582

10.  Functions of c-Jun in liver and heart development.

Authors:  R Eferl; M Sibilia; F Hilberg; A Fuchsbichler; I Kufferath; B Guertl; R Zenz; E F Wagner; K Zatloukal
Journal:  J Cell Biol       Date:  1999-05-31       Impact factor: 10.539

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  38 in total

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2.  RNAiDB and PhenoBlast: web tools for genome-wide phenotypic mapping projects.

Authors:  Kristin C Gunsalus; Wan-Chen Yueh; Philip MacMenamin; Fabio Piano
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3.  ELM server: A new resource for investigating short functional sites in modular eukaryotic proteins.

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Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

4.  Terminological mapping for high throughput comparative biology of phenotypes.

Authors:  Y A Lussier; J Li
Journal:  Pac Symp Biocomput       Date:  2004

Review 5.  Anatomics: the intersection of anatomy and bioinformatics.

Authors:  Jonathan B L Bard
Journal:  J Anat       Date:  2005-01       Impact factor: 2.610

6.  It's all GO for plant scientists.

Authors:  Jennifer I Clark; Cath Brooksbank; Jane Lomax
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

7.  Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies.

Authors:  Helen L Johnson; K Bretonnel Cohen; William A Baumgartner; Zhiyong Lu; Michael Bada; Todd Kester; Hyunmin Kim; Lawrence Hunter
Journal:  Pac Symp Biocomput       Date:  2006

8.  Pathbase: a database of mutant mouse pathology.

Authors:  Paul N Schofield; Jonathan B L Bard; Catherine Booth; Jacques Boniver; Vincenzo Covelli; Philippe Delvenne; Michele Ellender; Wilhelm Engstrom; Wolfgang Goessner; Michael Gruenberger; Heinz Hoefler; John Hopewell; Mariatheresa Mancuso; Carmel Mothersill; Christopher S Potten; Leticia Quintanilla-Fend; Bjorn Rozell; Hannu Sariola; John P Sundberg; Andrew Ward
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

9.  The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology.

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Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

10.  The mouse Gene Expression Database (GXD): updates and enhancements.

Authors:  David P Hill; Dale A Begley; Jacqueline H Finger; Terry F Hayamizu; Ingeborg J McCright; Constance M Smith; Jon S Beal; Lori E Corbani; Judith A Blake; Janan T Eppig; James A Kadin; Joel E Richardson; Martin Ringwald
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

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