e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Title

IMGT-ONTOLOGY, IMGT((R)) databases, tools, and web resources for immunoinformatics

en
Abstract

IMGT((R)), the international ImMunoGeneTics information system((R)), was created in 1989 as a high-quality integrated knowledge resource specialized in immunoglobulins (IG), T cell receptors (TR), major histocompatibility complexes (MHC) of human and other vertebrates, and related proteins of the immune system (RPI) which belong to the immunoglobulin superfamily (IgSF) and to the MHC superfamily (MbcSF). IMGT((R)) is the international reference in immunogenetics and immunoinformatics. IMGT((R)) combines sequence databases (IMGT/LIGM-DB, IMGT/PRIMER-DB, IMGT/PROTEIN-DB, IMGT/MHC-DB), a genome database (IMGT/ GENE-DB), and a three-dimensional (3D) structure database (IMGT/ 3Dstructure-DB) with interactive analysis tools (IMGT/V-QUEST, IMGT/JunctionAnalysis) and Web resources comprising 8000 HTML pages (IMGT Repertoire). The accuracy and consistency of IMGT data are based on IMGT-ONTOLOGY, available for biologists and IMGT users in the IMGT Scientific chart and for computer scientists in IMGT-ML, in XML format. IMGT((R)) components (databases, tools, and Web resources) have been developed according to three main biological approaches: the genomic approach that is gene centered, the genetic approach that refers to genes in relation to their polymorphisms, expression, specificity, and evolution, and the structural approach that analyses 3D structures in relation to protein function and recognition sites. We are implementing Web services for the IMGT databases and tools. This is the first step toward IMGT-Choreography that will trigger and coordinate dynamic interactions between IMGT Web services in order to process complex significant biological and clinical requests. IMGT((R)) is widely used in fundamental and medical research (repertoire analysis of the IG antibody sites and of the TR recognition sites in autoimmune diseases, infectious diseases, AIDS, leukemias, lymphomas, myelomas), veterinary research situations (IG and TR repertoires in farm and wildlife species), genome diversity and genome evolution studies of the adaptive immune responses, biotechnology related to antibody engineering (single chain Fragment variable (scFv), phage displays, combinatorial libraries, chimeric, humanized, and human antibodies), diagnostics (clonalities, detection and follow-up of residual diseases), and therapeutical approaches (graft, immunotherapy, vaccinology). IMGT((R)) is freely available at http://imgt.cines.fr.

en
Year
2008
en
Country
  • FR
Organization
  • Univ_Montpellier (FR)
Data keywords
  • ontology
  • knowledge
  • information system
  • XML
en
Agriculture keywords
  • farm
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Data topic
  • information systems
  • semantics
en
SO
IMMUNOINFORMATICS
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.