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TOXsIgN: a cross-species repository for toxicogenomic signatures.
Darde, Thomas A; Gaudriault, Pierre; Beranger, Rémi; Lancien, Clément; Caillarec-Joly, Annaëlle; Sallou, Olivier; Bonvallot, Nathalie; Chevrier, Cécile; Mazaud-Guittot, Séverine; Jégou, Bernard; Collin, Olivier; Becker, Emmanuelle; Rolland, Antoine D; Chalmel, Frédéric.
Afiliação
  • Darde TA; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Gaudriault P; Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA/INRIA) - GenOuest Platform, Université de Rennes 1, F-35042 Rennes, France.
  • Beranger R; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Lancien C; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Caillarec-Joly A; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Sallou O; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Bonvallot N; Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA/INRIA) - GenOuest Platform, Université de Rennes 1, F-35042 Rennes, France.
  • Chevrier C; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Mazaud-Guittot S; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Jégou B; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Collin O; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Becker E; Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA/INRIA) - GenOuest Platform, Université de Rennes 1, F-35042 Rennes, France.
  • Rolland AD; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
  • Chalmel F; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, F-35000 Rennes, France.
Bioinformatics ; 34(12): 2116-2122, 2018 06 15.
Article em En | MEDLINE | ID: mdl-29385404
ABSTRACT
Motivation At the same time that toxicologists express increasing concern about reproducibility in this field, the development of dedicated databases has already smoothed the path toward improving the storage and exchange of raw toxicogenomic data. Nevertheless, none provides access to analyzed and interpreted data as originally reported in scientific publications. Given the increasing demand for access to this information, we developed TOXsIgN, a repository for TOXicogenomic sIgNatures.

Results:

The TOXsIgN repository provides a flexible environment that facilitates online submission, storage and retrieval of toxicogenomic signatures by the scientific community. It currently hosts 754 projects that describe more than 450 distinct chemicals and their 8491 associated signatures. It also provides users with a working environment containing a powerful search engine as well as bioinformatics/biostatistics modules that enable signature comparisons or enrichment analyses. Availability and implementation The TOXsIgN repository is freely accessible at http//toxsign.genouest.org. Website implemented in Python, JavaScript and MongoDB, with all major browsers supported. Supplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Bases de Dados Factuais / Toxicogenética Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Bases de Dados Factuais / Toxicogenética Idioma: En Ano de publicação: 2018 Tipo de documento: Article