Nucleic Acids ResearchBioinformaticsPeer-reviewed journal article
IMGT(R) at scale: FAIR, Dynamic and Automated Tools for Immune Locus Analysis
Gaoussou SanouiD, Guilhem ZeitouniD, Taciana MansoiD, Milad EidiiD, Shamsa BatooliD, Anjana KushwahaiD, François GrandiD, Myriam CrozeiD, Axel VaillantiD, Chahrazed DebbaghiD, Nika AbdollahiiD, Maria GeorgaiD, Ariadni PapadakiiD, Ifigeneia SideriiD, Turkan SamadovaiD, Joumana Jabado-MichaloudiD, Géraldine FolchiD, Véronique GiudicelliiD, Patrice DurouxiD, Σοφία ΚοσσίδαiD
Abstract
IMGT(R), the international ImMunoGeneTics information system(R), has advanced its comprehensive platform for the analysis of immunoglobulin (IG) and T cell receptor (TR) genes through the development of new automated and scalable tools. This article presents major updates aligned with IMGTs three axes of research. Axis I introduces dynamic resources such as IMGT/GeneTables, IMGT/AssemblyComparison, and IMGT/StatAssembly, enabling real-time access to annotated genomic data and quality assessment of assemblies. Axis II enhances repertoire analysis with a redesigned IMGT/GeneFrequency tool and new customization features in IMGT/V-QUEST, supporting flexible exploration of IG and TR gene expression. Axis III improves the accurate prediction of peptide-MHC thanks to IMGT/RobustpMHC. Additionally, the IMGT Knowledge Graph (IMGT-KG) and its therapeutic extension, IMGT/mAb-KG, provide semantically structured access to more than 100 million immunogenetic triplets, integrating IMGT databases and linking IMGT content to external biomedical resources. These developments promote standardization, interoperability, and integrative analysis across immunogenetics and clinical applications, reinforcing IMGTs role as a core reference in the era of FAIR data and personalized medicine.
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: database / resource
- approach: statistical model
- Citations
- 9
- FWCI
- 2.69
- Field percentile
- top 9%
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