Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

rDolphin: a GUI R package for proficient automatic profiling of 1D 1H-NMR spectra of study datasets

  • Identification data

    Identifier: imarina:3672332
    Authors:
    Cañueto D, Gómez J, Salek RM, Correig X, Cañellas N.
    Abstract:
    Introduction Adoption of automatic profiling tools for 1H-NMR-based metabolomic studies still lags behind other approaches in the absence of the flexibility and interactivity necessary to adapt to the properties of study data sets of complex matrices. Objectives To provide an open source tool that fully integrates these needs and enables the reproducibility of the profiling process. Methods rDolphin incorporates novel techniques to optimize exploratory analysis, metabolite identification, and validation of profiling output quality. Results The information and quality achieved in two public datasets of complex matrices are maximized. Conclusion rDolphin is an open-source R package (http://github.com/danielcanueto/rDolphin) able to provide the best balance between accuracy, reproducibility and ease of use.
  • Others:

    Author, as appears in the article.: Cañueto D, Gómez J, Salek RM, Correig X, Cañellas N.
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    URV's Author/s: Cañellas Alberich, Nicolau / Correig Blanchar, Francesc Xavier
    Keywords: Reproducibility R software package Profiling Open-source software Nmr Metabolite identification Metabolite Automatic profiling open-source software nmr metabolite identification automatic profiling
    Abstract: Introduction Adoption of automatic profiling tools for 1H-NMR-based metabolomic studies still lags behind other approaches in the absence of the flexibility and interactivity necessary to adapt to the properties of study data sets of complex matrices. Objectives To provide an open source tool that fully integrates these needs and enables the reproducibility of the profiling process. Methods rDolphin incorporates novel techniques to optimize exploratory analysis, metabolite identification, and validation of profiling output quality. Results The information and quality achieved in two public datasets of complex matrices are maximized. Conclusion rDolphin is an open-source R package (http://github.com/danielcanueto/rDolphin) able to provide the best balance between accuracy, reproducibility and ease of use.
    Thematic Areas: Química Odontología Engenharias iv Endocrinology, diabetes and metabolism Endocrinology & metabolism Educação física Clinical biochemistry Ciências biológicas ii Ciências agrárias i Biotecnología Biochemistry
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 15733882
    Author's mail: xavier.correig@urv.cat nicolau.canyellas@urv.cat
    Author identifier: 0000-0002-6902-3054 0000-0003-4856-8132
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/submittedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s11306-018-1319-y
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Metabolomics. 14 (3): 24/1-24/5
    APA: Cañueto D, Gómez J, Salek RM, Correig X, Cañellas N. (2018). rDolphin: a GUI R package for proficient automatic profiling of 1D 1H-NMR spectra of study datasets. Metabolomics, 14(3), 24/1-24/5. DOI: 10.1007/s11306-018-1319-y
    Article's DOI: 10.1007/s11306-018-1319-y
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Biochemistry,Clinical Biochemistry,Endocrinology & Metabolism,Endocrinology, Diabetes and Metabolism
    Reproducibility
    R software package
    Profiling
    Open-source software
    Nmr
    Metabolite identification
    Metabolite
    Automatic profiling
    open-source software
    nmr
    metabolite identification
    automatic profiling
    Química
    Odontología
    Engenharias iv
    Endocrinology, diabetes and metabolism
    Endocrinology & metabolism
    Educação física
    Clinical biochemistry
    Ciências biológicas ii
    Ciências agrárias i
    Biotecnología
    Biochemistry
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