Autor segons l'article: Karapiperis, Christos; Kempf, Stefan J; Quintens, Roel; Azimzadeh, Omid; Vidal, Victoria Linares; Pazzaglia, Simonetta; Bazyka, Dimitry; Mastroberardino, Pier G; Scouras, Zacharias G; Tapio, Soile; Benotmane, Mohammed Abderrafi; Ouzounis, Christos A
Departament: Ciències Mèdiques Bàsiques
Autor/s de la URV: Linares Vidal, M. Victoria
Paraules clau: Systems biology; Software; Research; Radiation, ionizing; Omics technologies; Low-dose ionising radiation; Humans; Dose-response relationship, radiation; Data integration; Brain research; Brain
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: .
Àrees temàtiques: Structural biology; Saúde coletiva; Química; Molecular biology; Medicina veterinaria; Medicina ii; Medicina i; Mathematical & computational biology; Matemática / probabilidade e estatística; Interdisciplinar; Farmacia; Engenharias iv; Engenharias iii; Computer science applications; Ciências sociais aplicadas i; Ciências biológicas iii; Ciências biológicas ii; Ciências biológicas i; Ciências agrárias i; Ciência da computação; Biotecnología; Biotechnology & applied microbiology; Biodiversidade; Biochemistry; Biochemical research methods; Applied mathematics
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 14712105
Adreça de correu electrònic de l'autor: mvictoria.linares@urv.cat
Data d'alta del registre: 2025-02-08
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/
Referència a l'article segons font original: Bmc Bioinformatics. 17 (212): 212-
Referència de l'ítem segons les normes APA: Karapiperis, Christos; Kempf, Stefan J; Quintens, Roel; Azimzadeh, Omid; Vidal, Victoria Linares; Pazzaglia, Simonetta; Bazyka, Dimitry; Mastroberardi (2016). Brain Radiation Information Data Exchange (BRIDE): Integration of experimental data from low-dose ionising radiation research for pathway discovery. Bmc Bioinformatics, 17(212), 212-. DOI: 10.1186/s12859-016-1068-8
DOI de l'article: 10.1186/s12859-016-1068-8
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Tipus de publicació: Journal Publications