Fig. 5.

Venn diagram of spike-related features found among the 100 most discriminatory features by the three homogenous workflows (see Fig. 3) obtained with the spiked human urine data set. The data were obtained by comparing the 16-fold pLLOQ spike level with the blank (0.1-fold pLLOQ). OpenMS found 64 (82% of the total number of unique features found by all workflows) of all unique features related to the spiked peptides. It also identified the highest number (13) of unique features related to the spiked compounds not identified by any of the other workflows.