V
Véronique Giudicelli
Researcher at University of Montpellier
Publications - 69
Citations - 7666
Véronique Giudicelli is an academic researcher from University of Montpellier. The author has contributed to research in topics: Antibody & IGHV@. The author has an hindex of 30, co-authored 62 publications receiving 6583 citations. Previous affiliations of Véronique Giudicelli include Centre national de la recherche scientifique & Institut Universitaire de France.
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IMGT® Biocuration and Comparative Study of the T Cell Receptor Beta Locus of Veterinary Species Based on Homo sapiens TRB.
Perrine Pégorier,Morgane Bertignac,Imène Chentli,Viviane Nguefack Ngoune,Géraldine Folch,Joumana Jabado-Michaloud,Saida Hadi-Saljoqi,Véronique Giudicelli,Patrice Duroux,Marie-Paule Lefranc,Sofia Kossida +10 more
TL;DR: There are similarities but also differences including the number of genes by subgroup which may demonstrate duplications and/or deletions during evolution, including the TRB locus among different veterinary species based on Homo sapiens.
Journal Article
IMGT, the international ImMunoGeneTics database: a new design for immunogenetics data access
Véronique Giudicelli,Denys Chaume,Gérard Mennessier,Hans-Helmar Althaus,Werner Müller,JG Bodmer,Ansar Malik,Marie-Paule Lefranc +7 more
TL;DR: The approach for the data modelisation, the automation of the annotation procedure and control of data quality in LIGM-DB database is described, to establish a common data access to all immunogenetics data.
Proceedings Article
IMGT, the international ImMunoGeneTics information system®, http: //imgt.cines.fr: the reference in immunoinformatics.
TL;DR: IMGT is the global reference in immunogenetics and immunoinformatics and provides a common access to standardized data which include nucleotide and protein sequences, oligonucleotide primers, gene maps, genetic polymorphisms, specificities, 2D and 3D structures.
Proceedings Article
IMGT/LIGM-DB: A Systematized Approach for ImMunoGeneTics Database Coherence and Data Distribution Improvement
TL;DR: The coherence system, which became absolutely crucial to maintain data quality as the database is growing up and as the biological knowledge continues to improve, and the distribution system which makes LIGM-DB data easy to access, download and reuse are focused on.
Journal Article
IMGT Standardization for Statistical Analyses of T Cell Receptor Junctions: The TRAV-TRAJ Example
TL;DR: Using statistical learning, an automatic warning system is constructed to predict if new, automatically analysed TRAV-TRAJ sequences should be manually re-checked, and the robustness of this automaticwarning system is estimated.