Unknown

Dataset Information

0

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


ABSTRACT: 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.http://b2slab.upc.edu/software-and-downloads/metabolite-automatic-identification-toolkit/.

SUBMITTER: Fernandez-Albert F 

PROVIDER: S-EPMC4071204 | biostudies-other | 2014 Jul

REPOSITORIES: biostudies-other

altmetric image

Publications

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

Fernández-Albert Francesc F   Llorach Rafael R   Andrés-Lacueva Cristina C   Perera Alexandre A  

Bioinformatics (Oxford, England) 20140317 13


<h4>Unlabelled</h4>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 essenti  ...[more]

Similar Datasets

| S-EPMC8267200 | biostudies-literature
| S-EPMC5748896 | biostudies-literature
| S-EPMC7082718 | biostudies-literature
| S-EPMC6525397 | biostudies-literature
| S-EPMC6468463 | biostudies-literature
| S-EPMC6821699 | biostudies-literature
| S-EPMC3264576 | biostudies-literature
| S-EPMC1436036 | biostudies-literature