Autor segons l'article: 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
Departament: Ciències Mèdiques Bàsiques
Autor/s 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
Paraules clau: Data integration systems biology
Resum: 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>.
Grup de recerca: Laboratori de Toxicologia i Salut Mediambiental
Àrees temàtiques: Ciències de la salut Ciencias de la salud Health sciences
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1471-2105
Identificador de l'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
Data d'alta del registre: 2016-06-09
Volum de revista: 17
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1068-8
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1186/s12859-016-1068-8
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Pàgina inicial: Article number 212
Tipus de publicació: Article Artículo Article
Repositori URV