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A roadmap for the XCMS family of software solutions in metabolomics
2016
Current Opinion in Chemical Biology
Global profiling of metabolites in biological samples by liquid chromatography/mass spectrometry results in datasets too large to evaluate manually. Fortunately, a variety of software programs are now available to automate the data analysis. Selection of the appropriate processing solution is dependent upon experimental design. Most metabolomic studies a decade ago had a relatively simple experimental design in which the intensities of compounds were compared between only two sample groups.
doi:10.1016/j.cbpa.2015.11.009
pmid:26673825
pmcid:PMC4831061
fatcat:gppt6zz3xvbslgp2och4gzkr4q