Title |
Brain Radiation Information Data Exchange (BRIDE): integration of experimental data from low-dose ionising radiation research for pathway discovery
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Published in |
BMC Bioinformatics, May 2016
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DOI | 10.1186/s12859-016-1068-8 |
Pubmed ID | |
Authors |
Christos Karapiperis, Stefan J. Kempf, Roel Quintens, Omid Azimzadeh, Victoria Linares Vidal, Simonetta Pazzaglia, Dimitry Bazyka, Pier G. Mastroberardino, Zacharias G. Scouras, Soile Tapio, Mohammed Abderrafi Benotmane, Christos A. Ouzounis |
Abstract |
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. 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. 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>. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 17% |
Student > Bachelor | 5 | 17% |
Student > Master | 4 | 13% |
Researcher | 3 | 10% |
Student > Postgraduate | 3 | 10% |
Other | 6 | 20% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 20% |
Agricultural and Biological Sciences | 4 | 13% |
Computer Science | 3 | 10% |
Nursing and Health Professions | 3 | 10% |
Neuroscience | 2 | 7% |
Other | 8 | 27% |
Unknown | 4 | 13% |