MetaboLyzer: a novel statistical workflow for analyzing Postprocessed LC-MS metabolomics data.

@article{Mak2014MetaboLyzerAN,
  title={MetaboLyzer: a novel statistical workflow for analyzing Postprocessed LC-MS metabolomics data.},
  author={Tytus D. Mak and Evagelia C. Laiakis and Maryam Goudarzi and Albert J. Fornace},
  journal={Analytical chemistry},
  year={2014},
  volume={86 1},
  pages={
          506-13
        }
}
Metabolomics, the global study of small molecules in a particular system, has in the past few years risen to become a primary -omics platform for the study of metabolic processes. With the ever-increasing pool of quantitative data yielded from metabolomic research, specialized methods and tools with which to analyze and extract meaningful conclusions from these data are becoming more and more crucial. Furthermore, the depth of knowledge and expertise required to undertake a metabolomics… CONTINUE READING

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