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MSstatsQC [3] is an open-source software that provides longitudinal systemsuitability monitoring tools in the form of control charts for proteomicexperiments. It includes simultaneous tools for the mean and dispersion ofsuitability metrics and presents alternative methods of monitoring throughdifferent tabs that are designed in the interface. This research focuses oninvestigating the usability of MSstatsQC software and the interpretability ofthe designed plots. In this study, we ask 4 test users, from the proteomicsfield, to complete a series of tasks and questionnaires. The tasks are designedto test the usability of the software in terms of importing data files,selecting appropriate metrics, guide set, and peptides, and finally creatingdecision rules (tasks 1 and 3 in appendix). The questionnaires ask aboutinterpretability of the plots including control charts, box plots, heat maps,river plots, and radar plots (tasks 1 and 4 in appendix). The goal of thequestions is to determine if the test users understand the plots and caninterpret them. Results show limitations in usability and plotinterpretability, especially in the data import section. We suggest thefollowing modifications. I) providing conspicuous guides close to the windowrelated to up-loading a datafile as well as providing error messages thatpop-up when the data set has a wrong format II) providing plot descriptions,hints to interpret plots, plot titles and appropriate axis labels, and, III)Numbering tabs to show the flow of procedures in the software.

Investigating usability of MSstatsQC software