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.