Now showing items 1-5 of 5

    • Baitmet, a computational approach for GC–MS library-driven metabolite profiling 

      Domingo, Xavier; Brezmes, Jesus; Venturini, G; Vivó-Truyols, Gabriel; Perera Lluna, Alexandre; Vinaixa, Maria (2017-06-24)
      Article
      Open Access
      Current computational tools for gas chromatography – mass spectrometry (GC – MS) metabolomics profiling do not focus on metabolite identification, that still remains as the entire workflow bottleneck and it relies on manual ...
    • Enriquecimiento mediante vías metabólicas de datos de Cromatografía Líquida- Espectrometría de Masas a través de análisis espectral de grafos 

      Picart Armada, Sergio; Fernández Albert, Francesc; Vinaixa, Maria; Yanes, Óscar; Perera Lluna, Alexandre (2014)
      Conference report
      Open Access
      Una de las técnicas experimentales más extendidas en el ámbito de investigación biológica y la química analítica es la Cromatografía Líquida – Espectrometría de Masas, CL/EM, cuya salida informa sobre los compuestos presentes ...
    • eRah: A Computational Tool Integrating Spectral Deconvolution and Alignment with Quantification and Identification of Metabolites in GC/MS-Based Metabolomics 

      Domingo Almenara, Xavier; Brezmes, Jesus; Vinaixa, Maria; Samino, Sara; Ramirez, Noelia; Ramon Krauel, Marta; Lerin, Carles; Díaz, Marta; Ibañez, Lourdes; Correig, Xavier; Perera Lluna, Alexandre; Yanes, Óscar (2016-10-04)
      Article
      Restricted access - publisher's policy
      Gas chromatography coupled to mass spectrometry (GC/MS) has been a long-standing approach used for identifying small molecules due to the highly reproducible ionization process of electron impact ionization (EI). However, ...
    • FELLA: an R package to enrich metabolomics data 

      Picart Armada, Sergio; Fernández Albert, Francesc; Vinaixa, Maria; Yanes, Óscar; Perera Lluna, Alexandre (2018-12-22)
      Article
      Open Access
      Background: Pathway enrichment techniques are useful for understanding experimental metabolomics data. Their purpose is to give context to the affected metabolites in terms of the prior knowledge contained in metabolic ...
    • Null diffusion-based enrichment for metabolomics data 

      Picart Armada, Sergio; Fernández Albert, Francesc; Vinaixa, Maria; Rodríguez Hernandez, Miguel A.; Aivio, Suvi; Stracker, Travis H.; Yanes Torrado, Óscar; Perera Lluna, Alexandre (2017-12-06)
      Article
      Open Access
      Metabolomics experiments identify metabolites whose abundance varies as the conditions under study change. Pathway enrichment tools help in the identification of key metabolic processes and in building a plausible biological ...