ArticleFrontiers in genetics2012
IMGT-ONTOLOGY 2012.
Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 62 citations in OpenAlex.
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- IMGTAntibodies (Basel, Switzerland) · 2026Review
- VDJ-Insights: simplifying the annotation of genomic immunoglobulin and T cell receptor regions.Bioinformatics (Oxford, England) · 2026Article
- Unraveling IGK locus in dog breeds: IMGTNAR genomics and bioinformatics · 2026Article
- A Unified Dataset for Antibody and Nanobody Design Including Sequence, Structure, and Binding Affinity Data.Scientific data · 2026Article
- IMGT® at scale: FAIR, dynamic, and automated tools for immune locus analysis.Nucleic acids research · 2026Article
- IMGT Nomenclature and IMGT Unique Numbering: The Two Pillars of 35 Years of Immunoinformatics for Immunoglobulins (IG) or Antibodies and T Cell Receptors (TR).Methods in molecular biology (Clifton, N.J.) · 2026Article
- Article
- IMGTNAR genomics and bioinformatics · 2025Article
- Analysis of CDR3 region diversity with different lengths in bovine immunoglobulin heavy chain genes.Frontiers in immunology · 2025Article
- The Immunopeptidomics Ontology (ImPO).Database : the journal of biological databases and curation · 2024Article
- Invariant γδTCR natural killer-like effector T cells in the naked mole-rat.Nature communications · 2024Article
- Landscape of IGH germline genes of Chiroptera and the pattern ofMicrobiology spectrum · 2024Article
- Annotation and characterization of immunoglobulin loci and CDR3 polymorphism in water buffalo (Frontiers in immunology · 2024Article
- IMGT/mAb-KG: the knowledge graph for therapeutic monoclonal antibodies.Frontiers in immunology · 2024Article
- DecipheringFrontiers in immunology · 2024Article
- Development of TCR-T cell therapy targeting mismatched HLA-DPB1 for relapsed leukemia after allogeneic transplantation.International journal of hematology · 2023Article
- Antibody Sequence and Structure Analyses Using IMGTMethods in molecular biology (Clifton, N.J.) · 2023Article
- New insights into the germline genes and CDR3 repertoire of the TCRβ chain inFrontiers in immunology · 2023Article
- Mechanisms of action of monoclonal antibodies in oncology integrated in IMGT/mAb-DB.Frontiers in immunology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immunogenetics is the science that studies the genetics of the immune system and immune responses. Owing to the complexity and diversity of the immune repertoire, immunogenetics represents one of the greatest challenges for data interpretation: a large biological expertise, a considerable effort of standardization and the elaboration of an efficient system for the management of the related knowledge were required. IMGT®, the international ImMunoGeneTics information system® (http://www.imgt.org) has reached that goal through the building of a unique ontology, IMGT-ONTOLOGY, which represents the first ontology for the formal representation of knowledge in immunogenetics and immunoinformatics. IMGT-ONTOLOGY manages the immunogenetics knowledge through diverse facets that rely on the seven axioms of the Formal IMGT-ONTOLOGY or IMGT-Kaleidoscope: "IDENTIFICATION," "DESCRIPTION," "CLASSIFICATION," "NUMEROTATION," "LOCALIZATION," "ORIENTATION," and "OBTENTION." The concepts of identification, description, classification, and numerotation generated from the axioms led to the elaboration of the IMGT(®) standards that constitute the IMGT Scientific chart: IMGT®standardized keywords (concepts of identification), IMGT® standardized labels (concepts of description), IMGT® standardized gene and allele nomenclature (concepts of classification) and IMGT unique numbering and IMGT Collier de Perles (concepts of numerotation). IMGT-ONTOLOGY has become the global reference in immunogenetics and immunoinformatics for the knowledge representation of immunoglobulins (IG) or antibodies, T cell receptors (TR), and major histocompatibility (MH) proteins of humans and other vertebrates, proteins of the immunoglobulin superfamily (IgSF) and MH superfamily (MhSF), related proteins of the immune system (RPI) of vertebrates and invertebrates, therapeutic monoclonal antibodies (mAbs), fusion proteins for immune applications (FPIA), and composite proteins for clinical applications (CPCA).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.