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Showing papers by "Véronique Giudicelli published in 1998"


Journal ArticleDOI
TL;DR: The first report of the ‘IMGT Locus on Focus’ section comprises five tables entitled: ‘Number of human germline IGLV genes at 22q11.1-q 11.2 and potential repertoire’, which are available at the Marie-Paule page from IMGT, the international ImMunoGeneTics database.
Abstract: The first report of the ‘IMGT Locus on Focus’ section comprises five tables entitled: (1) ‘Number of human germline IGLV genes at 22q11.1-q11.2 and potential repertoire’; (2) ‘Human germline IGLV gene

71 citations


Journal Article
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.
Abstract: IMGT, the international ImMunoGeneTics database is an integrated database specializing in Immunoglobulins (Ig), T-cell receptors (TcR) and MHC molecules of all vertebrate species, created by Marie-Paule Lefranc, University of Montpellier, CNRS, Montpellier, France (Nucleic Acids Research, Database issue, Vol 26, January 1998). IMGT includes three databases: LIGM-DB (for Ig and TcR), MHC/HLA-DB and IMGT/PRIMER-DB (an Ig, TcR and MHC-related primer database), the last two in development. IMGT comprises expertly annotated sequences and alignment tables. LIGM-DB contains more than 24.000 Immunoglobulin and T cell Receptor sequences from 81 different species. MHC/HLA-DB contains class I and class II Human Leucocyte Antigen alignment tables. An IMGT tool, DNAPLOT, developed for Ig, TcR and MHC sequence analysis, is also available. IMGT goals are to establish a common data access to all immunogenetics data, including nucleotide and protein sequences, oligonucleotide primers, gene maps and other genetic data of Ig, TcR and MHC molecules, from all species, and to provide a graphical user friendly data access. IMGT has important implications in medical research (repertoire in autoimmune diseases, AIDS, leukemias, lymphomas), therapeutical approaches (antibody engineering), genome diversity and genome evolution studies. In this paper, we describe our approach for the data modelisation, the automation of the annotation procedure and control of data quality in LIGM-DB database. IMGT is freely available on the CNUSC WWW server at Montpellier: http://imgt.cnusc.fr: 8104 (contact: Denys.Chaume@cnusc.fr) and on the EBI servers: http://www.ebi.ac.uk/imgt (contact: malik@ebi.ac.uk) and ftp.ebi.ac.uk/pub/databases/imgt. LIGM-DB users are encouraged to report errors or suggestions to giudi@ligm.crbm.cnrs-mop.fr. IMGT initiator and coordinator: Marie-Paule Lefranc, lefranc@ligm.crbm.cnrs-mop.fr. (fax: +33(0)467040231).

15 citations


Proceedings Article
01 Jul 1998
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.
Abstract: IMGT, the international ImMunoGeneTics database (http:(/)/imgt.cnusc.fr:8104), created by Marie-Paule Lefranc, Montpellier, France, is an integrated database specializing in antigen receptors and MHC of all vertebrate species. IMGT includes LIGM-DB, developed for Immunoglobulins and T-cell-receptors. LIGM-DB distributes high quality data with an important increment value added by the LIGM expert annotations. LIGM-DB accurate immunogenetics data is based on the standardization of biological knowledge related to keywords, annotation labels and gene identification. The management of such data resulting from biological research requires an high flexible implementation to quickly reflect up-to-date results, and to integrate new knowledge. We developed a systematized approach and defined LIGM-DB systems which manage and realize the major tasks for the database survey. In this paper, we will focus on 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 on the distribution system which makes LIGM-DB data easy to access, download and reuse. Efforts have been done to improve the data distribution procedures and adapt them to the current bioinformatics needs. Recently, we have developed an API which allows Java programmers to remotely access and integrate LIGM-DB data in other computer environments.

13 citations