<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Sanou G</submitter><funding>Scientific Research National Center</funding><funding>Institut du développement et des ressources en informatique scientifique (IDRIS)</funding><funding>University of Montpellier</funding><funding>Scientific Research National Center (CNRS)</funding><funding>Immun4Cure University Hospital Institute “Institute for innovative immunotherapies in autoimmune diseases”</funding><funding>Institut Universitaire de France</funding><funding>Immun4Cure University Hospital Institute "Institute for innovative immunotherapies in autoimmune diseases"</funding><funding>Institut du développement et des ressources en informatique scientifique</funding><funding>GENCI</funding><pagination>D1119-D1132</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12807764</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>54(D1)</volume><pubmed_abstract>IMGT®, the international ImMunoGeneTics information system®, 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 IMGT's three axes of research. Axis I introduces dynamic resources such as IMGT/GeneTables, IMGT/AssemblyComparison, IMGT/CDRLengths, IMGT/MultiGenomeViewer, enabling real-time access to annotated genomic data, and IMGT/StatAssembly to assess quality of IG/TR loci in 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 pept</pubmed_abstract><journal>Nucleic acids research</journal><pubmed_title>IMGT® at scale: FAIR, dynamic, and automated tools for immune locus analysis.</pubmed_title><pmcid>PMC12807764</pmcid><funding_grant_id>036029</funding_grant_id><funding_grant_id>2030 / ANR-23-IHUA-0009</funding_grant_id><pubmed_authors>Sanou G</pubmed_authors><pubmed_authors>Zeitoun G</pubmed_authors><pubmed_authors>Georga M</pubmed_authors><pubmed_authors>Manso T</pubmed_authors><pubmed_authors>Eidi M</pubmed_authors><pubmed_authors>Abdollahi N</pubmed_authors><pubmed_authors>Giudicelli V</pubmed_authors><pubmed_authors>Duroux P</pubmed_authors><pubmed_authors>Batool S</pubmed_authors><pubmed_authors>Vaillant A</pubmed_authors><pubmed_authors>Croze M</pubmed_authors><pubmed_authors>Debbagh C</pubmed_authors><pubmed_authors>Sideri I</pubmed_authors><pubmed_authors>Kushwaha A</pubmed_authors><pubmed_authors>Papadaki A</pubmed_authors><pubmed_authors>Folch G</pubmed_authors><pubmed_authors>Jabado-Michaloud J</pubmed_authors><pubmed_authors>Kossida S</pubmed_authors><pubmed_authors>Samadova T</pubmed_authors><pubmed_authors>Grand F</pubmed_authors></additional><is_claimable>false</is_claimable><name>IMGT® at scale: FAIR, dynamic, and automated tools for immune locus analysis.</name><description>IMGT®, the international ImMunoGeneTics information system®, 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 IMGT's three axes of research. Axis I introduces dynamic resources such as IMGT/GeneTables, IMGT/AssemblyComparison, IMGT/CDRLengths, IMGT/MultiGenomeViewer, enabling real-time access to annotated genomic data, and IMGT/StatAssembly to assess quality of IG/TR loci in 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 pept</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-05-31T03:16:04.063Z</modification><creation>2026-05-31T03:10:15.601Z</creation></dates><accession>S-EPMC12807764</accession><cross_references><pubmed>41091930</pubmed><doi>10.1093/nar/gkaf1024</doi></cross_references></HashMap>