Conjunts de dades de producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

rMSIcleanup Validation Datasets 1-10

  • Datos identificativos

    Identificador: PC:4125
    Autores:
    Baquer, Gerard
    Resumen:
    Mass Spectrometry Imaging datasets used as validation of the functionality of rMSIcleanup (https://github.com/gbaquer/rMSIcleanup). Acquired with silver-assisted LDI using MALDI TOF/TOF ultrafleXtreme. Referred to as Dataset 1-10 in the accompanying publication (https://doi.org/10.1101/2019.12.20.884957). Datasets 1 and 2: Mouse Pancreatic Tissue. Dataset 3: Mouse Kidney Tissue. Datasets 4-10: Mouse Brain Tissue.
  • Otros:

    Materia: Enginyeria
    Derechos de acceso: info:eu-repo/semantics/openAccess
    Identificador del investigador: 0000-0002-4433-4972
    Publicado por (editorial): Universitat Rovira i Virgili (URV)
    Publicaciones relacionadas: Baquer, G., Sementé, Ll., García-Altares, M., Lee, Y. J., Chaurand, P., Correig, X., & Ràfols, P. (2019). Rmsicleanup: An open-source tool for matrix-related peak annotation in mass spectrometry imaging and its application to silver-assisted laser desorption/ionization. https://doi.org/10.1101/2019.12.20.884957
    Resumen: Mass Spectrometry Imaging datasets used as validation of the functionality of rMSIcleanup (https://github.com/gbaquer/rMSIcleanup). Acquired with silver-assisted LDI using MALDI TOF/TOF ultrafleXtreme. Referred to as Dataset 1-10 in the accompanying publication (https://doi.org/10.1101/2019.12.20.884957). Datasets 1 and 2: Mouse Pancreatic Tissue. Dataset 3: Mouse Kidney Tissue. Datasets 4-10: Mouse Brain Tissue.
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    DOI: 10.17632/vsk68tjcgh.3
    Tipo de documento: info:eu-repo/semantics/other
    DOI de la publicación relacionada: 10.1101/2019.12.20.884957
    Fecha alta repositorio: 2019-12-20
    Autor: Baquer, Gerard
    Palabras clave: Imaging Mass Spectrometry
    Grupo de investigación: Metabolomics Interdisciplary Laboratory
    Año de publicación de la dataset: 2019
    Título del conjunto de datos: rMSIcleanup Validation Datasets 1-10
  • Palabras clave:

    Enginyeria
    Imaging Mass Spectrometry
  • Documentos:

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