Articles producció científica> Ciències Mèdiques Bàsiques

Brain Radiation Information Data Exchange (BRIDE): Integration of experimental data from low-dose ionising radiation research for pathway discovery

  • Datos identificativos

    Identificador: imarina:5129816
    Handle: http://hdl.handle.net/20.500.11797/imarina5129816
  • Autores:

    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
  • Otros:

    Autor según el artículo: 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
    Departamento: Ciències Mèdiques Bàsiques
    Autor/es de la URV: Linares Vidal, M. Victoria
    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: .
    Áreas temáticas: 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
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 14712105
    Direcció de correo del autor: mvictoria.linares@urv.cat
    Identificador del autor: 0000-0003-4170-4197
    Fecha de alta del registro: 2023-02-18
    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
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Bmc Bioinformatics. 17 (212): 212-
    Referencia 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 del artículo: 10.1186/s12859-016-1068-8
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2016
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Applied Mathematics,Biochemical Research Methods,Biochemistry,Biotechnology & Applied Microbiology,Computer Science Applications,Mathematical & Computational Biology,Molecular Biology,Structural Biology
    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
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