An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit)

نویسندگان

  • Francesc Fernández-Albert
  • Rafael Llorach
  • Cristina Andres-Lacueva
  • Alexandre Perera-Lluna
چکیده

UNLABELLED Current tools for liquid chromatography and mass spectrometry for metabolomic data cover a limited number of processing steps, whereas online tools are hard to use in a programmable fashion. This article introduces the Metabolite Automatic Identification Toolkit (MAIT) package, which makes it possible for users to perform metabolomic end-to-end liquid chromatography and mass spectrometry data analysis. MAIT is focused on improving the peak annotation stage and provides essential tools to validate statistical analysis results. MAIT generates output files with the statistical results, peak annotation and metabolite identification. AVAILABILITY AND IMPLEMENTATION http://b2slab.upc.edu/software-and-downloads/metabolite-automatic-identification-toolkit/.

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عنوان ژورنال:

دوره 30  شماره 

صفحات  -

تاریخ انتشار 2014