As a basis, the workflow contains both the generally used suspect screening and identification workflows. In addition to this, when working on larger data sets, it is possible to perform alignment on the features, components, or suspects. The most straight forward option that this enables is the possibility to perform trend and statistical analysis. However, with the combination of the alignment clean-up functions, this allows for even more flexible workflows. For example, if there is a dataset with 2 different sample types that each have their own method blanks, feature detection followed by alignment of the feature files for each of the sample type could be performed. The alignment clean-up then enables to filter the features from the method blanks for each sample type. From this point, it is possible to filter the individual feature list based on the aligned file and only maintain the features that belong to each sample type. From this, filtered feature lists are obtained that provide the possibility to continue with componentization using these reduced lists. Throughout this process the changes are tracked and deleted features can be restored. Overall, this means that the setup of the toolbox allows to only process information of interest further down the pipeline. This functionality already provides 15+ workflows excluding all the alignment clean-up options.