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

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