metabCombiner


metabCombiner is a method for aligning pairs of metabolomics data acquired under similar, but not necessarily identical, LC-MS conditions. Two processed metabolomics feature tables with m/z, retention time (RT), and sample abundances (+optional id, adduct, and other columns) are taken as input and metabCombiner generates an output of scored feature pair alignments corresponding to the same analytes in both feature tables.

Github Link(package) 

        Bioconductor Link 

                             Github Link (App)

Publications

Habra, H.; Kachman, M.; Bullock, K.; Clish, C.; Evans, C. R.; Karnovsky, A. metabCombiner : Paired Untargeted LC-HRMS Metabolomics Feature Matching and Concatenation of Disparately Acquired Data Sets. Anal. Chem. 2021, 93 (12), 5028–5036. https://doi.org/10.1021/acs.analchem.0c03693.