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Bioinformatics
Article . 1999 . Peer-reviewed
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Bioinformatics
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Article . 2000
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Article . 1999
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Ontology for immunogenetics: the IMGT-ONTOLOGY

Authors: Véronique Giudicelli; Marie-Paule Lefranc;

Ontology for immunogenetics: the IMGT-ONTOLOGY

Abstract

Abstract Motivation: IMGT, the international ImMunoGene- Tics database (http://imgt.cines.fr:8104), created by M.-P. Lefranc, is an integrated database specializing in antigen receptors (immunoglobulins and T-cell receptors) and major histocompatibility complex (MHC) of all vertebrate species. IMGT accurate immunogenetics data are based on the standardization of the biological knowledge provided by the ‘ImMunoGeneTics’ IMGT-ONTOLOGY. The IMGT-ONTOLOGY describes the classification and specification of terms needed for immunogenetics and bioinformatics. IMGT-ONTOLOGY covers four main concepts: ‘IDENTIFICATION’, ‘DESCRIPTION’, ‘CLASSIFICATION’ and ‘OBTENTION’. These concepts allow an extensive and standardized description and characterization of immunoglobulin and T-cell receptor data. The controlled vocabulary and the annotation rules are indispensable to ensure accuracy, consistency and coherence in IMGT. IMGT-ONTOLOGY allows scientists and clinicians to use, for the first time, identical terms with the same meaning in immunogenetics. It provides a semantic repository that will improve interoperability between specialist and generalist databases. Availability: Controlled vocabulary and annotation rules are described in the IMGT Scientific chart from the IMGT Marie-Paule page at http://imgt.cines.fr:8104 Contact: lefranc@ligm.igh.cnrs.fr

Keywords

Quality Control, Databases, Factual, Reproducibility of Results, Systems Integration, User-Computer Interface, Vocabulary, Controlled, Artificial Intelligence, Software Design, [SDV.IMM.IA] Life Sciences [q-bio]/Immunology/Adaptive immunology, Immunogenetics, Animals, Humans, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    192
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
192
Top 1%
Top 1%
Top 10%
gold