Autor según el artículo: Victoria Linares Vidal; Christos Karapiperis; Stefan J. Kempf; Roel Quintens; Omid Azimzadeh; Simonetta Pazzaglia; Dimitry Bazyka; Pier G. Mastroberardino; Zacharias G. Scouras; Soile Tapio; Mohammed Abderrafi Benotmane; Christos A. Ouzounis
Departamento: Ciències Mèdiques Bàsiques
Autor/es de la URV: LINARES VIDAL, M. VICTORIA; Christos Karapiperis; Stefan J. Kempf; Roel Quintens; Omid Azimzadeh; Simonetta Pazzaglia; Dimitry Bazyka; Pier G. Mastroberardino; Zacharias G. Scouras; Soile Tapio; Mohammed Abderrafi Benotmane; Christos A. Ouzounis
Palabras clave: Data integration systems biology
Resumen: Background: The underlying molecular processes representing stress responses to low-dose ionising radiation (LDIR) in mammals are just beginning to be understood. In particular, LDIR effects on the brain and their possible association with neurodegenerative disease are currently being explored using omics technologies. Results: We describe a light-weight approach for the storage, analysis and distribution of relevant LDIR omics datasets. The data integration platform, called BRIDE, contains information from the literature as well as experimental information from transcriptomics and proteomics studies. It deploys a hybrid, distributed solution using both local storage and cloud technology. Conclusions: BRIDE can act as a knowledge broker for LDIR researchers, to facilitate molecular research on the systems biology of LDIR response in mammals. Its flexible design can capture a range of experimental information for genomics, epigenomics, transcriptomics, and proteomics. The data collection is available at: <bride.azurewebsites.net>.
Grupo de investigación: Laboratori de Toxicologia i Salut Mediambiental
Áreas temáticas: Ciències de la salut Ciencias de la salud Health sciences
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1471-2105
Identificador del autor: N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D
Fecha de alta del registro: 2016-06-09
Volumen de revista: 17
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1068-8
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.1186/s12859-016-1068-8
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2016
Página inicial: Article number 212
Tipo de publicación: Article Artículo Article
Repositori URV