1. A method of analyzing metabolomics data, comprising: automatically receiving, in a database, a three-dimensional data set of metabolomics data corresponding to each of a plurality of samples, from each of a first data source and a second data source; for the metabolomics data from each of the first and second data sources: converting the three-dimensional data set into at least one corresponding two-dimensional data set for each of the plurality of samples; plotting the at least one two-dimensional data set for each of the plurality of samples; comparing the at least one plotted two-dimensional data set for each of the plurality of samples to a plurality of characteristic plots corresponding to a plurality of selected metabolites so as to screen the plurality of samples by associating at least one of the plurality of selected metabolites with the at least one plotted two-dimensional data set for each of the plurality of samples; and comparing, for the screened plurality of samples determined to have the at least one of the plurality of selected metabolites associated therewith, the at least one plotted two-dimensional data set for each of the screened plurality of samples, across the screened plurality of samples, so as to determine a trend of the associated at least one of the plurality of selected metabolites, across the screened plurality of samples; displaying a visual indication of the comparison of the at least one plotted two-dimensional data set for each of the screened plurality of samples, across a plurality of the screened plurality of samples, to visually indicate the screened plurality of samples determined to have the at least one of the plurality of selected metabolites associated therewith, and the trend corresponding thereto, across the plurality of the screened plurality of samples, for the metabolomics data from each of the first and second data sources; and comparing the first and second data sources with respect to the at least one of the plurality of selected metabolites determined to be included in the metabolomics data and the trend across the screened plurality of samples associated therewith so as to determine an identity confidence measure associated with the at least one of the plurality of selected metabolites.