Author, as appears in the 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
Department: Ciències Mèdiques Bàsiques
URV's Author/s: 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
Keywords: Data integration systems biology
Abstract: 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>.
Research group: Laboratori de Toxicologia i Salut Mediambiental
Thematic Areas: Ciències de la salut Ciencias de la salud Health sciences
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1471-2105
Author identifier: N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D; N/D
Record's date: 2016-06-09
Journal volume: 17
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1068-8
Article's DOI: 10.1186/s12859-016-1068-8
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
First page: Article number 212
Publication Type: Article Artículo Article
Repositori URV